Instructions to use dzungpham/graphcodebert-code-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dzungpham/graphcodebert-code-classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dzungpham/graphcodebert-code-classification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload training checkpoints and best model
Browse files- checkpoint-1000/model.safetensors +2 -2
- checkpoint-1000/optimizer.pt +2 -2
- checkpoint-1000/rng_state.pth +1 -1
- checkpoint-1000/scaler.pt +3 -0
- checkpoint-1000/scheduler.pt +1 -1
- checkpoint-1000/tokenizer.json +1 -6
- checkpoint-1000/trainer_state.json +531 -427
- checkpoint-1000/training_args.bin +2 -2
- checkpoint-1100/config.json +29 -0
- checkpoint-1100/merges.txt +0 -0
- checkpoint-1100/model.safetensors +3 -0
- checkpoint-1100/optimizer.pt +3 -0
- checkpoint-1100/rng_state.pth +3 -0
- checkpoint-1100/scaler.pt +3 -0
- checkpoint-1100/scheduler.pt +3 -0
- checkpoint-1100/special_tokens_map.json +51 -0
- checkpoint-1100/tokenizer.json +0 -0
- checkpoint-1100/tokenizer_config.json +58 -0
- checkpoint-1100/trainer_state.json +956 -0
- checkpoint-1100/training_args.bin +3 -0
- checkpoint-1100/vocab.json +0 -0
checkpoint-1000/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9dba0da560adadcbd863063b6d8a4d4b56290c3be335cf41f14a557b6fee1c9f
|
| 3 |
+
size 506505672
|
checkpoint-1000/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6bdf390e9c9e5d555f636219141a77d3bb7ad8de7356aaf171bdfbbbf56a7182
|
| 3 |
+
size 1007622411
|
checkpoint-1000/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14645
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5183674b6e19178da7160a0d79f26425cdd2d73db6134e2a7310a7b772fca618
|
| 3 |
size 14645
|
checkpoint-1000/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:db5e3abecfb917c340b4d882625db5f9460551d58b56c250704864b7bc1aa3e4
|
| 3 |
+
size 1383
|
checkpoint-1000/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1977
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5c69cb9ab6a70db20a2d0ee7c18ddc9292442d3eec7b5ec05df69a67d327cf4b
|
| 3 |
size 1977
|
checkpoint-1000/tokenizer.json
CHANGED
|
@@ -1,11 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"version": "1.0",
|
| 3 |
-
"truncation":
|
| 4 |
-
"direction": "Right",
|
| 5 |
-
"max_length": 512,
|
| 6 |
-
"strategy": "LongestFirst",
|
| 7 |
-
"stride": 0
|
| 8 |
-
},
|
| 9 |
"padding": null,
|
| 10 |
"added_tokens": [
|
| 11 |
{
|
|
|
|
| 1 |
{
|
| 2 |
"version": "1.0",
|
| 3 |
+
"truncation": null,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
"padding": null,
|
| 5 |
"added_tokens": [
|
| 6 |
{
|
checkpoint-1000/trainer_state.json
CHANGED
|
@@ -1,746 +1,850 @@
|
|
| 1 |
{
|
| 2 |
"best_global_step": 1000,
|
| 3 |
-
"best_metric": 0.
|
| 4 |
"best_model_checkpoint": "taskA-unixcoder-focal/checkpoint-1000",
|
| 5 |
-
"epoch": 0.
|
| 6 |
-
"eval_steps":
|
| 7 |
"global_step": 1000,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
-
"epoch": 0.
|
| 14 |
-
"grad_norm":
|
| 15 |
-
"learning_rate":
|
| 16 |
-
"loss": 0.
|
| 17 |
"step": 10
|
| 18 |
},
|
| 19 |
{
|
| 20 |
-
"epoch": 0.
|
| 21 |
-
"grad_norm":
|
| 22 |
-
"learning_rate":
|
| 23 |
-
"loss": 0.
|
| 24 |
"step": 20
|
| 25 |
},
|
| 26 |
{
|
| 27 |
-
"epoch": 0.
|
| 28 |
-
"grad_norm":
|
| 29 |
-
"learning_rate":
|
| 30 |
-
"loss": 0.
|
| 31 |
"step": 30
|
| 32 |
},
|
| 33 |
{
|
| 34 |
-
"epoch": 0.
|
| 35 |
-
"grad_norm":
|
| 36 |
-
"learning_rate":
|
| 37 |
-
"loss": 0.
|
| 38 |
"step": 40
|
| 39 |
},
|
| 40 |
{
|
| 41 |
-
"epoch": 0.
|
| 42 |
-
"grad_norm":
|
| 43 |
-
"learning_rate":
|
| 44 |
-
"loss": 0.
|
| 45 |
"step": 50
|
| 46 |
},
|
| 47 |
{
|
| 48 |
-
"epoch": 0.
|
| 49 |
-
"grad_norm":
|
| 50 |
-
"learning_rate":
|
| 51 |
-
"loss": 0.
|
| 52 |
"step": 60
|
| 53 |
},
|
| 54 |
{
|
| 55 |
-
"epoch": 0.
|
| 56 |
-
"grad_norm":
|
| 57 |
-
"learning_rate":
|
| 58 |
-
"loss": 0.
|
| 59 |
"step": 70
|
| 60 |
},
|
| 61 |
{
|
| 62 |
-
"epoch": 0.
|
| 63 |
-
"grad_norm":
|
| 64 |
-
"learning_rate":
|
| 65 |
-
"loss": 0.
|
| 66 |
"step": 80
|
| 67 |
},
|
| 68 |
{
|
| 69 |
-
"epoch": 0.
|
| 70 |
-
"grad_norm":
|
| 71 |
-
"learning_rate":
|
| 72 |
-
"loss": 0.
|
| 73 |
"step": 90
|
| 74 |
},
|
| 75 |
{
|
| 76 |
-
"epoch": 0.
|
| 77 |
-
"grad_norm":
|
| 78 |
-
"learning_rate":
|
| 79 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 80 |
"step": 100
|
| 81 |
},
|
| 82 |
{
|
| 83 |
-
"epoch": 0.
|
| 84 |
-
"grad_norm":
|
| 85 |
-
"learning_rate":
|
| 86 |
-
"loss": 0.
|
| 87 |
"step": 110
|
| 88 |
},
|
| 89 |
{
|
| 90 |
-
"epoch": 0.
|
| 91 |
-
"grad_norm":
|
| 92 |
-
"learning_rate":
|
| 93 |
-
"loss": 0.
|
| 94 |
"step": 120
|
| 95 |
},
|
| 96 |
{
|
| 97 |
-
"epoch": 0.
|
| 98 |
-
"grad_norm":
|
| 99 |
-
"learning_rate":
|
| 100 |
-
"loss": 0.
|
| 101 |
"step": 130
|
| 102 |
},
|
| 103 |
{
|
| 104 |
-
"epoch": 0.
|
| 105 |
-
"grad_norm":
|
| 106 |
-
"learning_rate":
|
| 107 |
-
"loss": 0.
|
| 108 |
"step": 140
|
| 109 |
},
|
| 110 |
{
|
| 111 |
-
"epoch": 0.
|
| 112 |
-
"grad_norm":
|
| 113 |
-
"learning_rate":
|
| 114 |
-
"loss": 0.
|
| 115 |
"step": 150
|
| 116 |
},
|
| 117 |
{
|
| 118 |
-
"epoch": 0.
|
| 119 |
-
"grad_norm":
|
| 120 |
-
"learning_rate":
|
| 121 |
-
"loss": 0.
|
| 122 |
"step": 160
|
| 123 |
},
|
| 124 |
{
|
| 125 |
-
"epoch": 0.
|
| 126 |
-
"grad_norm":
|
| 127 |
-
"learning_rate":
|
| 128 |
-
"loss": 0.
|
| 129 |
"step": 170
|
| 130 |
},
|
| 131 |
{
|
| 132 |
-
"epoch": 0.
|
| 133 |
-
"grad_norm":
|
| 134 |
-
"learning_rate":
|
| 135 |
-
"loss": 0.
|
| 136 |
"step": 180
|
| 137 |
},
|
| 138 |
{
|
| 139 |
-
"epoch": 0.
|
| 140 |
-
"grad_norm":
|
| 141 |
-
"learning_rate":
|
| 142 |
-
"loss": 0.
|
| 143 |
"step": 190
|
| 144 |
},
|
| 145 |
{
|
| 146 |
-
"epoch": 0.
|
| 147 |
-
"grad_norm":
|
| 148 |
-
"learning_rate":
|
| 149 |
-
"loss": 0.
|
| 150 |
"step": 200
|
| 151 |
},
|
| 152 |
{
|
| 153 |
-
"epoch": 0.
|
| 154 |
-
"
|
| 155 |
-
"
|
| 156 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 157 |
"step": 210
|
| 158 |
},
|
| 159 |
{
|
| 160 |
-
"epoch": 0.
|
| 161 |
-
"grad_norm":
|
| 162 |
-
"learning_rate":
|
| 163 |
-
"loss": 0.
|
| 164 |
"step": 220
|
| 165 |
},
|
| 166 |
{
|
| 167 |
-
"epoch": 0.
|
| 168 |
-
"grad_norm":
|
| 169 |
-
"learning_rate":
|
| 170 |
-
"loss": 0.
|
| 171 |
"step": 230
|
| 172 |
},
|
| 173 |
{
|
| 174 |
-
"epoch": 0.
|
| 175 |
-
"grad_norm":
|
| 176 |
-
"learning_rate":
|
| 177 |
-
"loss": 0.
|
| 178 |
"step": 240
|
| 179 |
},
|
| 180 |
{
|
| 181 |
-
"epoch": 0.
|
| 182 |
-
"grad_norm":
|
| 183 |
-
"learning_rate":
|
| 184 |
-
"loss": 0.
|
| 185 |
"step": 250
|
| 186 |
},
|
| 187 |
{
|
| 188 |
-
"epoch": 0.
|
| 189 |
-
"grad_norm":
|
| 190 |
-
"learning_rate":
|
| 191 |
-
"loss": 0.
|
| 192 |
"step": 260
|
| 193 |
},
|
| 194 |
{
|
| 195 |
-
"epoch": 0.
|
| 196 |
-
"grad_norm":
|
| 197 |
-
"learning_rate":
|
| 198 |
-
"loss": 0.
|
| 199 |
"step": 270
|
| 200 |
},
|
| 201 |
{
|
| 202 |
-
"epoch": 0.
|
| 203 |
-
"grad_norm":
|
| 204 |
-
"learning_rate":
|
| 205 |
-
"loss": 0.
|
| 206 |
"step": 280
|
| 207 |
},
|
| 208 |
{
|
| 209 |
-
"epoch": 0.
|
| 210 |
-
"grad_norm":
|
| 211 |
-
"learning_rate":
|
| 212 |
-
"loss": 0.
|
| 213 |
"step": 290
|
| 214 |
},
|
| 215 |
{
|
| 216 |
-
"epoch": 0.
|
| 217 |
-
"grad_norm":
|
| 218 |
-
"learning_rate":
|
| 219 |
-
"loss": 0.
|
| 220 |
"step": 300
|
| 221 |
},
|
| 222 |
{
|
| 223 |
-
"epoch": 0.
|
| 224 |
-
"
|
| 225 |
-
"
|
| 226 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 227 |
"step": 310
|
| 228 |
},
|
| 229 |
{
|
| 230 |
-
"epoch": 0.
|
| 231 |
-
"grad_norm":
|
| 232 |
-
"learning_rate":
|
| 233 |
-
"loss": 0.
|
| 234 |
"step": 320
|
| 235 |
},
|
| 236 |
{
|
| 237 |
-
"epoch": 0.
|
| 238 |
-
"grad_norm":
|
| 239 |
-
"learning_rate":
|
| 240 |
-
"loss": 0.
|
| 241 |
"step": 330
|
| 242 |
},
|
| 243 |
{
|
| 244 |
-
"epoch": 0.
|
| 245 |
-
"grad_norm":
|
| 246 |
-
"learning_rate":
|
| 247 |
-
"loss": 0.
|
| 248 |
"step": 340
|
| 249 |
},
|
| 250 |
{
|
| 251 |
-
"epoch": 0.
|
| 252 |
-
"grad_norm":
|
| 253 |
-
"learning_rate":
|
| 254 |
-
"loss": 0.
|
| 255 |
"step": 350
|
| 256 |
},
|
| 257 |
{
|
| 258 |
-
"epoch": 0.
|
| 259 |
-
"grad_norm":
|
| 260 |
-
"learning_rate":
|
| 261 |
-
"loss": 0.
|
| 262 |
"step": 360
|
| 263 |
},
|
| 264 |
{
|
| 265 |
-
"epoch": 0.
|
| 266 |
-
"grad_norm":
|
| 267 |
-
"learning_rate":
|
| 268 |
-
"loss": 0.
|
| 269 |
"step": 370
|
| 270 |
},
|
| 271 |
{
|
| 272 |
-
"epoch": 0.
|
| 273 |
-
"grad_norm":
|
| 274 |
-
"learning_rate":
|
| 275 |
-
"loss": 0.
|
| 276 |
"step": 380
|
| 277 |
},
|
| 278 |
{
|
| 279 |
-
"epoch": 0.
|
| 280 |
-
"grad_norm":
|
| 281 |
-
"learning_rate":
|
| 282 |
-
"loss": 0.
|
| 283 |
"step": 390
|
| 284 |
},
|
| 285 |
{
|
| 286 |
-
"epoch": 0.
|
| 287 |
-
"grad_norm":
|
| 288 |
-
"learning_rate":
|
| 289 |
-
"loss": 0.
|
| 290 |
"step": 400
|
| 291 |
},
|
| 292 |
{
|
| 293 |
-
"epoch": 0.
|
| 294 |
-
"
|
| 295 |
-
"
|
| 296 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 297 |
"step": 410
|
| 298 |
},
|
| 299 |
{
|
| 300 |
-
"epoch": 0.
|
| 301 |
-
"grad_norm":
|
| 302 |
-
"learning_rate":
|
| 303 |
-
"loss": 0.
|
| 304 |
"step": 420
|
| 305 |
},
|
| 306 |
{
|
| 307 |
-
"epoch": 0.
|
| 308 |
-
"grad_norm":
|
| 309 |
-
"learning_rate":
|
| 310 |
-
"loss": 0.
|
| 311 |
"step": 430
|
| 312 |
},
|
| 313 |
{
|
| 314 |
-
"epoch": 0.
|
| 315 |
-
"grad_norm":
|
| 316 |
-
"learning_rate":
|
| 317 |
-
"loss": 0.
|
| 318 |
"step": 440
|
| 319 |
},
|
| 320 |
{
|
| 321 |
-
"epoch": 0.
|
| 322 |
-
"grad_norm":
|
| 323 |
-
"learning_rate":
|
| 324 |
-
"loss": 0.
|
| 325 |
"step": 450
|
| 326 |
},
|
| 327 |
{
|
| 328 |
-
"epoch": 0.
|
| 329 |
-
"grad_norm":
|
| 330 |
-
"learning_rate":
|
| 331 |
-
"loss": 0.
|
| 332 |
"step": 460
|
| 333 |
},
|
| 334 |
{
|
| 335 |
-
"epoch": 0.
|
| 336 |
-
"grad_norm":
|
| 337 |
-
"learning_rate":
|
| 338 |
-
"loss": 0.
|
| 339 |
"step": 470
|
| 340 |
},
|
| 341 |
{
|
| 342 |
-
"epoch": 0.
|
| 343 |
-
"grad_norm":
|
| 344 |
-
"learning_rate":
|
| 345 |
-
"loss": 0.
|
| 346 |
"step": 480
|
| 347 |
},
|
| 348 |
{
|
| 349 |
-
"epoch": 0.
|
| 350 |
-
"grad_norm":
|
| 351 |
-
"learning_rate":
|
| 352 |
-
"loss": 0.
|
| 353 |
"step": 490
|
| 354 |
},
|
| 355 |
{
|
| 356 |
-
"epoch": 0.
|
| 357 |
-
"grad_norm":
|
| 358 |
-
"learning_rate":
|
| 359 |
-
"loss": 0.
|
| 360 |
"step": 500
|
| 361 |
},
|
| 362 |
{
|
| 363 |
-
"epoch": 0.
|
| 364 |
-
"eval_accuracy": 0.
|
| 365 |
-
"eval_f1_weighted": 0.
|
| 366 |
-
"eval_loss": 0.
|
| 367 |
-
"eval_macro_f1": 0.
|
| 368 |
-
"eval_precision": 0.
|
| 369 |
-
"eval_recall": 0.
|
| 370 |
-
"eval_runtime":
|
| 371 |
-
"eval_samples_per_second":
|
| 372 |
-
"eval_steps_per_second":
|
| 373 |
"step": 500
|
| 374 |
},
|
| 375 |
{
|
| 376 |
-
"epoch": 0.
|
| 377 |
-
"grad_norm":
|
| 378 |
-
"learning_rate":
|
| 379 |
-
"loss": 0.
|
| 380 |
"step": 510
|
| 381 |
},
|
| 382 |
{
|
| 383 |
-
"epoch": 0.
|
| 384 |
-
"grad_norm":
|
| 385 |
-
"learning_rate":
|
| 386 |
-
"loss": 0.
|
| 387 |
"step": 520
|
| 388 |
},
|
| 389 |
{
|
| 390 |
-
"epoch": 0.
|
| 391 |
-
"grad_norm":
|
| 392 |
-
"learning_rate":
|
| 393 |
-
"loss": 0.
|
| 394 |
"step": 530
|
| 395 |
},
|
| 396 |
{
|
| 397 |
-
"epoch": 0.
|
| 398 |
-
"grad_norm":
|
| 399 |
-
"learning_rate":
|
| 400 |
-
"loss": 0.
|
| 401 |
"step": 540
|
| 402 |
},
|
| 403 |
{
|
| 404 |
-
"epoch": 0.
|
| 405 |
-
"grad_norm":
|
| 406 |
-
"learning_rate":
|
| 407 |
-
"loss": 0.
|
| 408 |
"step": 550
|
| 409 |
},
|
| 410 |
{
|
| 411 |
-
"epoch": 0.
|
| 412 |
-
"grad_norm":
|
| 413 |
-
"learning_rate":
|
| 414 |
-
"loss": 0.
|
| 415 |
"step": 560
|
| 416 |
},
|
| 417 |
{
|
| 418 |
-
"epoch": 0.
|
| 419 |
-
"grad_norm":
|
| 420 |
-
"learning_rate":
|
| 421 |
-
"loss": 0.
|
| 422 |
"step": 570
|
| 423 |
},
|
| 424 |
{
|
| 425 |
-
"epoch": 0.
|
| 426 |
-
"grad_norm":
|
| 427 |
-
"learning_rate":
|
| 428 |
-
"loss": 0.
|
| 429 |
"step": 580
|
| 430 |
},
|
| 431 |
{
|
| 432 |
-
"epoch": 0.
|
| 433 |
-
"grad_norm":
|
| 434 |
-
"learning_rate":
|
| 435 |
-
"loss": 0.
|
| 436 |
"step": 590
|
| 437 |
},
|
| 438 |
{
|
| 439 |
-
"epoch": 0.
|
| 440 |
-
"grad_norm":
|
| 441 |
-
"learning_rate":
|
| 442 |
-
"loss": 0.
|
| 443 |
"step": 600
|
| 444 |
},
|
| 445 |
{
|
| 446 |
-
"epoch": 0.
|
| 447 |
-
"
|
| 448 |
-
"
|
| 449 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 450 |
"step": 610
|
| 451 |
},
|
| 452 |
{
|
| 453 |
-
"epoch": 0.
|
| 454 |
-
"grad_norm":
|
| 455 |
-
"learning_rate":
|
| 456 |
-
"loss": 0.
|
| 457 |
"step": 620
|
| 458 |
},
|
| 459 |
{
|
| 460 |
-
"epoch": 0.
|
| 461 |
-
"grad_norm":
|
| 462 |
-
"learning_rate":
|
| 463 |
-
"loss": 0.
|
| 464 |
"step": 630
|
| 465 |
},
|
| 466 |
{
|
| 467 |
-
"epoch": 0.
|
| 468 |
-
"grad_norm":
|
| 469 |
-
"learning_rate":
|
| 470 |
-
"loss": 0.
|
| 471 |
"step": 640
|
| 472 |
},
|
| 473 |
{
|
| 474 |
-
"epoch": 0.
|
| 475 |
-
"grad_norm":
|
| 476 |
-
"learning_rate":
|
| 477 |
-
"loss": 0.
|
| 478 |
"step": 650
|
| 479 |
},
|
| 480 |
{
|
| 481 |
-
"epoch": 0.
|
| 482 |
-
"grad_norm":
|
| 483 |
-
"learning_rate":
|
| 484 |
-
"loss": 0.
|
| 485 |
"step": 660
|
| 486 |
},
|
| 487 |
{
|
| 488 |
-
"epoch": 0.
|
| 489 |
-
"grad_norm":
|
| 490 |
-
"learning_rate":
|
| 491 |
-
"loss": 0.
|
| 492 |
"step": 670
|
| 493 |
},
|
| 494 |
{
|
| 495 |
-
"epoch": 0.
|
| 496 |
-
"grad_norm":
|
| 497 |
-
"learning_rate":
|
| 498 |
-
"loss": 0.
|
| 499 |
"step": 680
|
| 500 |
},
|
| 501 |
{
|
| 502 |
-
"epoch": 0.
|
| 503 |
-
"grad_norm":
|
| 504 |
-
"learning_rate":
|
| 505 |
-
"loss": 0.
|
| 506 |
"step": 690
|
| 507 |
},
|
| 508 |
{
|
| 509 |
-
"epoch": 0.
|
| 510 |
-
"grad_norm":
|
| 511 |
-
"learning_rate":
|
| 512 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 513 |
"step": 700
|
| 514 |
},
|
| 515 |
{
|
| 516 |
-
"epoch": 0.
|
| 517 |
-
"grad_norm":
|
| 518 |
-
"learning_rate":
|
| 519 |
-
"loss": 0.
|
| 520 |
"step": 710
|
| 521 |
},
|
| 522 |
{
|
| 523 |
-
"epoch": 0.
|
| 524 |
-
"grad_norm":
|
| 525 |
-
"learning_rate":
|
| 526 |
-
"loss": 0.
|
| 527 |
"step": 720
|
| 528 |
},
|
| 529 |
{
|
| 530 |
-
"epoch": 0.
|
| 531 |
-
"grad_norm":
|
| 532 |
-
"learning_rate":
|
| 533 |
-
"loss": 0.
|
| 534 |
"step": 730
|
| 535 |
},
|
| 536 |
{
|
| 537 |
-
"epoch": 0.
|
| 538 |
-
"grad_norm":
|
| 539 |
-
"learning_rate":
|
| 540 |
-
"loss": 0.
|
| 541 |
"step": 740
|
| 542 |
},
|
| 543 |
{
|
| 544 |
-
"epoch": 0.
|
| 545 |
-
"grad_norm":
|
| 546 |
-
"learning_rate":
|
| 547 |
-
"loss": 0.
|
| 548 |
"step": 750
|
| 549 |
},
|
| 550 |
{
|
| 551 |
-
"epoch": 0.
|
| 552 |
-
"grad_norm":
|
| 553 |
-
"learning_rate":
|
| 554 |
-
"loss": 0.
|
| 555 |
"step": 760
|
| 556 |
},
|
| 557 |
{
|
| 558 |
-
"epoch": 0.
|
| 559 |
-
"grad_norm":
|
| 560 |
-
"learning_rate":
|
| 561 |
-
"loss": 0.
|
| 562 |
"step": 770
|
| 563 |
},
|
| 564 |
{
|
| 565 |
-
"epoch": 0.
|
| 566 |
-
"grad_norm":
|
| 567 |
-
"learning_rate":
|
| 568 |
-
"loss": 0.
|
| 569 |
"step": 780
|
| 570 |
},
|
| 571 |
{
|
| 572 |
-
"epoch": 0.
|
| 573 |
-
"grad_norm":
|
| 574 |
-
"learning_rate":
|
| 575 |
-
"loss": 0.
|
| 576 |
"step": 790
|
| 577 |
},
|
| 578 |
{
|
| 579 |
-
"epoch": 0.
|
| 580 |
-
"grad_norm":
|
| 581 |
-
"learning_rate":
|
| 582 |
-
"loss": 0.
|
| 583 |
"step": 800
|
| 584 |
},
|
| 585 |
{
|
| 586 |
-
"epoch": 0.
|
| 587 |
-
"
|
| 588 |
-
"
|
| 589 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 590 |
"step": 810
|
| 591 |
},
|
| 592 |
{
|
| 593 |
-
"epoch": 0.
|
| 594 |
-
"grad_norm":
|
| 595 |
-
"learning_rate":
|
| 596 |
-
"loss": 0.
|
| 597 |
"step": 820
|
| 598 |
},
|
| 599 |
{
|
| 600 |
-
"epoch": 0.
|
| 601 |
-
"grad_norm":
|
| 602 |
-
"learning_rate":
|
| 603 |
-
"loss": 0.
|
| 604 |
"step": 830
|
| 605 |
},
|
| 606 |
{
|
| 607 |
-
"epoch": 0.
|
| 608 |
-
"grad_norm":
|
| 609 |
-
"learning_rate":
|
| 610 |
-
"loss": 0.
|
| 611 |
"step": 840
|
| 612 |
},
|
| 613 |
{
|
| 614 |
-
"epoch": 0.
|
| 615 |
-
"grad_norm":
|
| 616 |
-
"learning_rate":
|
| 617 |
-
"loss": 0.
|
| 618 |
"step": 850
|
| 619 |
},
|
| 620 |
{
|
| 621 |
-
"epoch": 0.
|
| 622 |
-
"grad_norm":
|
| 623 |
-
"learning_rate":
|
| 624 |
-
"loss": 0.
|
| 625 |
"step": 860
|
| 626 |
},
|
| 627 |
{
|
| 628 |
-
"epoch": 0.
|
| 629 |
-
"grad_norm":
|
| 630 |
-
"learning_rate":
|
| 631 |
-
"loss": 0.
|
| 632 |
"step": 870
|
| 633 |
},
|
| 634 |
{
|
| 635 |
-
"epoch": 0.
|
| 636 |
-
"grad_norm":
|
| 637 |
-
"learning_rate":
|
| 638 |
-
"loss": 0.
|
| 639 |
"step": 880
|
| 640 |
},
|
| 641 |
{
|
| 642 |
-
"epoch": 0.
|
| 643 |
-
"grad_norm": 0.
|
| 644 |
-
"learning_rate":
|
| 645 |
-
"loss": 0.
|
| 646 |
"step": 890
|
| 647 |
},
|
| 648 |
{
|
| 649 |
-
"epoch": 0.
|
| 650 |
-
"grad_norm":
|
| 651 |
-
"learning_rate":
|
| 652 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 653 |
"step": 900
|
| 654 |
},
|
| 655 |
{
|
| 656 |
-
"epoch": 0.
|
| 657 |
-
"grad_norm":
|
| 658 |
-
"learning_rate":
|
| 659 |
-
"loss": 0.
|
| 660 |
"step": 910
|
| 661 |
},
|
| 662 |
{
|
| 663 |
-
"epoch": 0.
|
| 664 |
-
"grad_norm":
|
| 665 |
-
"learning_rate":
|
| 666 |
-
"loss": 0.
|
| 667 |
"step": 920
|
| 668 |
},
|
| 669 |
{
|
| 670 |
-
"epoch": 0.
|
| 671 |
-
"grad_norm": 0.
|
| 672 |
-
"learning_rate":
|
| 673 |
-
"loss": 0.
|
| 674 |
"step": 930
|
| 675 |
},
|
| 676 |
{
|
| 677 |
-
"epoch": 0.
|
| 678 |
-
"grad_norm":
|
| 679 |
-
"learning_rate":
|
| 680 |
-
"loss": 0.
|
| 681 |
"step": 940
|
| 682 |
},
|
| 683 |
{
|
| 684 |
-
"epoch": 0.
|
| 685 |
-
"grad_norm":
|
| 686 |
-
"learning_rate":
|
| 687 |
-
"loss": 0.
|
| 688 |
"step": 950
|
| 689 |
},
|
| 690 |
{
|
| 691 |
-
"epoch": 0.
|
| 692 |
-
"grad_norm":
|
| 693 |
-
"learning_rate":
|
| 694 |
-
"loss": 0.
|
| 695 |
"step": 960
|
| 696 |
},
|
| 697 |
{
|
| 698 |
-
"epoch": 0.
|
| 699 |
-
"grad_norm":
|
| 700 |
-
"learning_rate":
|
| 701 |
-
"loss": 0.
|
| 702 |
"step": 970
|
| 703 |
},
|
| 704 |
{
|
| 705 |
-
"epoch": 0.
|
| 706 |
-
"grad_norm":
|
| 707 |
-
"learning_rate":
|
| 708 |
-
"loss": 0.
|
| 709 |
"step": 980
|
| 710 |
},
|
| 711 |
{
|
| 712 |
-
"epoch": 0.
|
| 713 |
-
"grad_norm":
|
| 714 |
-
"learning_rate": 1.
|
| 715 |
-
"loss": 0.
|
| 716 |
"step": 990
|
| 717 |
},
|
| 718 |
{
|
| 719 |
-
"epoch": 0.
|
| 720 |
-
"grad_norm":
|
| 721 |
-
"learning_rate": 1.
|
| 722 |
-
"loss": 0.
|
| 723 |
"step": 1000
|
| 724 |
},
|
| 725 |
{
|
| 726 |
-
"epoch": 0.
|
| 727 |
-
"eval_accuracy": 0.
|
| 728 |
-
"eval_f1_weighted": 0.
|
| 729 |
-
"eval_loss": 0.
|
| 730 |
-
"eval_macro_f1": 0.
|
| 731 |
-
"eval_precision": 0.
|
| 732 |
-
"eval_recall": 0.
|
| 733 |
-
"eval_runtime":
|
| 734 |
-
"eval_samples_per_second":
|
| 735 |
-
"eval_steps_per_second":
|
| 736 |
"step": 1000
|
| 737 |
}
|
| 738 |
],
|
| 739 |
"logging_steps": 10,
|
| 740 |
-
"max_steps":
|
| 741 |
"num_input_tokens_seen": 0,
|
| 742 |
"num_train_epochs": 1,
|
| 743 |
-
"save_steps":
|
| 744 |
"stateful_callbacks": {
|
| 745 |
"EarlyStoppingCallback": {
|
| 746 |
"args": {
|
|
@@ -762,8 +866,8 @@
|
|
| 762 |
"attributes": {}
|
| 763 |
}
|
| 764 |
},
|
| 765 |
-
"total_flos":
|
| 766 |
-
"train_batch_size":
|
| 767 |
"trial_name": null,
|
| 768 |
"trial_params": null
|
| 769 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"best_global_step": 1000,
|
| 3 |
+
"best_metric": 0.9644889377060355,
|
| 4 |
"best_model_checkpoint": "taskA-unixcoder-focal/checkpoint-1000",
|
| 5 |
+
"epoch": 0.1223540927444023,
|
| 6 |
+
"eval_steps": 100,
|
| 7 |
"global_step": 1000,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
+
"epoch": 0.001223540927444023,
|
| 14 |
+
"grad_norm": 0.1898110806941986,
|
| 15 |
+
"learning_rate": 3.6734693877551025e-07,
|
| 16 |
+
"loss": 0.4422,
|
| 17 |
"step": 10
|
| 18 |
},
|
| 19 |
{
|
| 20 |
+
"epoch": 0.002447081854888046,
|
| 21 |
+
"grad_norm": 0.3350900411605835,
|
| 22 |
+
"learning_rate": 7.346938775510205e-07,
|
| 23 |
+
"loss": 0.4323,
|
| 24 |
"step": 20
|
| 25 |
},
|
| 26 |
{
|
| 27 |
+
"epoch": 0.003670622782332069,
|
| 28 |
+
"grad_norm": 0.3723449110984802,
|
| 29 |
+
"learning_rate": 1.142857142857143e-06,
|
| 30 |
+
"loss": 0.4362,
|
| 31 |
"step": 30
|
| 32 |
},
|
| 33 |
{
|
| 34 |
+
"epoch": 0.004894163709776092,
|
| 35 |
+
"grad_norm": 0.3299769461154938,
|
| 36 |
+
"learning_rate": 1.5510204081632654e-06,
|
| 37 |
+
"loss": 0.4191,
|
| 38 |
"step": 40
|
| 39 |
},
|
| 40 |
{
|
| 41 |
+
"epoch": 0.006117704637220115,
|
| 42 |
+
"grad_norm": 0.26681044697761536,
|
| 43 |
+
"learning_rate": 1.9591836734693877e-06,
|
| 44 |
+
"loss": 0.4289,
|
| 45 |
"step": 50
|
| 46 |
},
|
| 47 |
{
|
| 48 |
+
"epoch": 0.007341245564664138,
|
| 49 |
+
"grad_norm": 0.30233338475227356,
|
| 50 |
+
"learning_rate": 2.3673469387755103e-06,
|
| 51 |
+
"loss": 0.4083,
|
| 52 |
"step": 60
|
| 53 |
},
|
| 54 |
{
|
| 55 |
+
"epoch": 0.008564786492108161,
|
| 56 |
+
"grad_norm": 0.31031334400177,
|
| 57 |
+
"learning_rate": 2.775510204081633e-06,
|
| 58 |
+
"loss": 0.404,
|
| 59 |
"step": 70
|
| 60 |
},
|
| 61 |
{
|
| 62 |
+
"epoch": 0.009788327419552184,
|
| 63 |
+
"grad_norm": 0.2552475035190582,
|
| 64 |
+
"learning_rate": 3.183673469387755e-06,
|
| 65 |
+
"loss": 0.3889,
|
| 66 |
"step": 80
|
| 67 |
},
|
| 68 |
{
|
| 69 |
+
"epoch": 0.011011868346996207,
|
| 70 |
+
"grad_norm": 0.3131052553653717,
|
| 71 |
+
"learning_rate": 3.5918367346938777e-06,
|
| 72 |
+
"loss": 0.3813,
|
| 73 |
"step": 90
|
| 74 |
},
|
| 75 |
{
|
| 76 |
+
"epoch": 0.01223540927444023,
|
| 77 |
+
"grad_norm": 0.3377229571342468,
|
| 78 |
+
"learning_rate": 4.000000000000001e-06,
|
| 79 |
+
"loss": 0.3727,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.01223540927444023,
|
| 84 |
+
"eval_accuracy": 0.6961,
|
| 85 |
+
"eval_f1_weighted": 0.6955947095331424,
|
| 86 |
+
"eval_loss": 0.15026023983955383,
|
| 87 |
+
"eval_macro_f1": 0.6959280508399847,
|
| 88 |
+
"eval_precision": 0.7019396279846728,
|
| 89 |
+
"eval_recall": 0.6961,
|
| 90 |
+
"eval_runtime": 789.7648,
|
| 91 |
+
"eval_samples_per_second": 126.62,
|
| 92 |
+
"eval_steps_per_second": 0.99,
|
| 93 |
"step": 100
|
| 94 |
},
|
| 95 |
{
|
| 96 |
+
"epoch": 0.013458950201884253,
|
| 97 |
+
"grad_norm": 0.3366774618625641,
|
| 98 |
+
"learning_rate": 4.408163265306123e-06,
|
| 99 |
+
"loss": 0.3671,
|
| 100 |
"step": 110
|
| 101 |
},
|
| 102 |
{
|
| 103 |
+
"epoch": 0.014682491129328276,
|
| 104 |
+
"grad_norm": 0.33491575717926025,
|
| 105 |
+
"learning_rate": 4.816326530612245e-06,
|
| 106 |
+
"loss": 0.3498,
|
| 107 |
"step": 120
|
| 108 |
},
|
| 109 |
{
|
| 110 |
+
"epoch": 0.0159060320567723,
|
| 111 |
+
"grad_norm": 0.4119006097316742,
|
| 112 |
+
"learning_rate": 5.2244897959183684e-06,
|
| 113 |
+
"loss": 0.3409,
|
| 114 |
"step": 130
|
| 115 |
},
|
| 116 |
{
|
| 117 |
+
"epoch": 0.017129572984216322,
|
| 118 |
+
"grad_norm": 0.2964725196361542,
|
| 119 |
+
"learning_rate": 5.63265306122449e-06,
|
| 120 |
+
"loss": 0.3433,
|
| 121 |
"step": 140
|
| 122 |
},
|
| 123 |
{
|
| 124 |
+
"epoch": 0.018353113911660345,
|
| 125 |
+
"grad_norm": 0.3075334429740906,
|
| 126 |
+
"learning_rate": 6.040816326530613e-06,
|
| 127 |
+
"loss": 0.3298,
|
| 128 |
"step": 150
|
| 129 |
},
|
| 130 |
{
|
| 131 |
+
"epoch": 0.019576654839104368,
|
| 132 |
+
"grad_norm": 0.33718687295913696,
|
| 133 |
+
"learning_rate": 6.4489795918367345e-06,
|
| 134 |
+
"loss": 0.3297,
|
| 135 |
"step": 160
|
| 136 |
},
|
| 137 |
{
|
| 138 |
+
"epoch": 0.02080019576654839,
|
| 139 |
+
"grad_norm": 0.2809618413448334,
|
| 140 |
+
"learning_rate": 6.857142857142858e-06,
|
| 141 |
+
"loss": 0.3275,
|
| 142 |
"step": 170
|
| 143 |
},
|
| 144 |
{
|
| 145 |
+
"epoch": 0.022023736693992414,
|
| 146 |
+
"grad_norm": 0.37805014848709106,
|
| 147 |
+
"learning_rate": 7.2653061224489805e-06,
|
| 148 |
+
"loss": 0.3201,
|
| 149 |
"step": 180
|
| 150 |
},
|
| 151 |
{
|
| 152 |
+
"epoch": 0.023247277621436437,
|
| 153 |
+
"grad_norm": 0.2940429151058197,
|
| 154 |
+
"learning_rate": 7.673469387755102e-06,
|
| 155 |
+
"loss": 0.3042,
|
| 156 |
"step": 190
|
| 157 |
},
|
| 158 |
{
|
| 159 |
+
"epoch": 0.02447081854888046,
|
| 160 |
+
"grad_norm": 0.3286060690879822,
|
| 161 |
+
"learning_rate": 8.081632653061225e-06,
|
| 162 |
+
"loss": 0.3071,
|
| 163 |
"step": 200
|
| 164 |
},
|
| 165 |
{
|
| 166 |
+
"epoch": 0.02447081854888046,
|
| 167 |
+
"eval_accuracy": 0.77807,
|
| 168 |
+
"eval_f1_weighted": 0.7781129395311969,
|
| 169 |
+
"eval_loss": 0.12153773754835129,
|
| 170 |
+
"eval_macro_f1": 0.7780651598452646,
|
| 171 |
+
"eval_precision": 0.7808306361972198,
|
| 172 |
+
"eval_recall": 0.77807,
|
| 173 |
+
"eval_runtime": 792.7157,
|
| 174 |
+
"eval_samples_per_second": 126.149,
|
| 175 |
+
"eval_steps_per_second": 0.986,
|
| 176 |
+
"step": 200
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 0.025694359476324483,
|
| 180 |
+
"grad_norm": 0.33857154846191406,
|
| 181 |
+
"learning_rate": 8.489795918367347e-06,
|
| 182 |
+
"loss": 0.2964,
|
| 183 |
"step": 210
|
| 184 |
},
|
| 185 |
{
|
| 186 |
+
"epoch": 0.026917900403768506,
|
| 187 |
+
"grad_norm": 0.2752092182636261,
|
| 188 |
+
"learning_rate": 8.89795918367347e-06,
|
| 189 |
+
"loss": 0.3,
|
| 190 |
"step": 220
|
| 191 |
},
|
| 192 |
{
|
| 193 |
+
"epoch": 0.02814144133121253,
|
| 194 |
+
"grad_norm": 0.4952544569969177,
|
| 195 |
+
"learning_rate": 9.306122448979593e-06,
|
| 196 |
+
"loss": 0.294,
|
| 197 |
"step": 230
|
| 198 |
},
|
| 199 |
{
|
| 200 |
+
"epoch": 0.029364982258656552,
|
| 201 |
+
"grad_norm": 0.37926042079925537,
|
| 202 |
+
"learning_rate": 9.714285714285715e-06,
|
| 203 |
+
"loss": 0.2964,
|
| 204 |
"step": 240
|
| 205 |
},
|
| 206 |
{
|
| 207 |
+
"epoch": 0.030588523186100575,
|
| 208 |
+
"grad_norm": 0.3222455680370331,
|
| 209 |
+
"learning_rate": 1.0122448979591836e-05,
|
| 210 |
+
"loss": 0.283,
|
| 211 |
"step": 250
|
| 212 |
},
|
| 213 |
{
|
| 214 |
+
"epoch": 0.0318120641135446,
|
| 215 |
+
"grad_norm": 0.2930658459663391,
|
| 216 |
+
"learning_rate": 1.053061224489796e-05,
|
| 217 |
+
"loss": 0.2793,
|
| 218 |
"step": 260
|
| 219 |
},
|
| 220 |
{
|
| 221 |
+
"epoch": 0.03303560504098862,
|
| 222 |
+
"grad_norm": 0.4313414692878723,
|
| 223 |
+
"learning_rate": 1.0938775510204083e-05,
|
| 224 |
+
"loss": 0.2728,
|
| 225 |
"step": 270
|
| 226 |
},
|
| 227 |
{
|
| 228 |
+
"epoch": 0.034259145968432644,
|
| 229 |
+
"grad_norm": 0.37351569533348083,
|
| 230 |
+
"learning_rate": 1.1346938775510206e-05,
|
| 231 |
+
"loss": 0.2752,
|
| 232 |
"step": 280
|
| 233 |
},
|
| 234 |
{
|
| 235 |
+
"epoch": 0.035482686895876664,
|
| 236 |
+
"grad_norm": 0.22772285342216492,
|
| 237 |
+
"learning_rate": 1.1755102040816328e-05,
|
| 238 |
+
"loss": 0.274,
|
| 239 |
"step": 290
|
| 240 |
},
|
| 241 |
{
|
| 242 |
+
"epoch": 0.03670622782332069,
|
| 243 |
+
"grad_norm": 0.15888753533363342,
|
| 244 |
+
"learning_rate": 1.2163265306122449e-05,
|
| 245 |
+
"loss": 0.264,
|
| 246 |
"step": 300
|
| 247 |
},
|
| 248 |
{
|
| 249 |
+
"epoch": 0.03670622782332069,
|
| 250 |
+
"eval_accuracy": 0.82326,
|
| 251 |
+
"eval_f1_weighted": 0.8227034206790359,
|
| 252 |
+
"eval_loss": 0.10234300792217255,
|
| 253 |
+
"eval_macro_f1": 0.8230100448030374,
|
| 254 |
+
"eval_precision": 0.8338333810964687,
|
| 255 |
+
"eval_recall": 0.82326,
|
| 256 |
+
"eval_runtime": 789.0168,
|
| 257 |
+
"eval_samples_per_second": 126.74,
|
| 258 |
+
"eval_steps_per_second": 0.991,
|
| 259 |
+
"step": 300
|
| 260 |
+
},
|
| 261 |
+
{
|
| 262 |
+
"epoch": 0.03792976875076471,
|
| 263 |
+
"grad_norm": 0.23560188710689545,
|
| 264 |
+
"learning_rate": 1.2571428571428572e-05,
|
| 265 |
+
"loss": 0.2753,
|
| 266 |
"step": 310
|
| 267 |
},
|
| 268 |
{
|
| 269 |
+
"epoch": 0.039153309678208736,
|
| 270 |
+
"grad_norm": 0.18699614703655243,
|
| 271 |
+
"learning_rate": 1.2979591836734696e-05,
|
| 272 |
+
"loss": 0.2565,
|
| 273 |
"step": 320
|
| 274 |
},
|
| 275 |
{
|
| 276 |
+
"epoch": 0.040376850605652756,
|
| 277 |
+
"grad_norm": 0.24035991728305817,
|
| 278 |
+
"learning_rate": 1.3387755102040818e-05,
|
| 279 |
+
"loss": 0.2716,
|
| 280 |
"step": 330
|
| 281 |
},
|
| 282 |
{
|
| 283 |
+
"epoch": 0.04160039153309678,
|
| 284 |
+
"grad_norm": 0.15309660136699677,
|
| 285 |
+
"learning_rate": 1.3795918367346941e-05,
|
| 286 |
+
"loss": 0.2515,
|
| 287 |
"step": 340
|
| 288 |
},
|
| 289 |
{
|
| 290 |
+
"epoch": 0.0428239324605408,
|
| 291 |
+
"grad_norm": 0.3382055461406708,
|
| 292 |
+
"learning_rate": 1.4204081632653062e-05,
|
| 293 |
+
"loss": 0.2597,
|
| 294 |
"step": 350
|
| 295 |
},
|
| 296 |
{
|
| 297 |
+
"epoch": 0.04404747338798483,
|
| 298 |
+
"grad_norm": 0.24439455568790436,
|
| 299 |
+
"learning_rate": 1.4612244897959185e-05,
|
| 300 |
+
"loss": 0.247,
|
| 301 |
"step": 360
|
| 302 |
},
|
| 303 |
{
|
| 304 |
+
"epoch": 0.04527101431542885,
|
| 305 |
+
"grad_norm": 0.26233720779418945,
|
| 306 |
+
"learning_rate": 1.5020408163265307e-05,
|
| 307 |
+
"loss": 0.2431,
|
| 308 |
"step": 370
|
| 309 |
},
|
| 310 |
{
|
| 311 |
+
"epoch": 0.046494555242872875,
|
| 312 |
+
"grad_norm": 0.20477451384067535,
|
| 313 |
+
"learning_rate": 1.5387755102040818e-05,
|
| 314 |
+
"loss": 0.2538,
|
| 315 |
"step": 380
|
| 316 |
},
|
| 317 |
{
|
| 318 |
+
"epoch": 0.047718096170316894,
|
| 319 |
+
"grad_norm": 0.2765439748764038,
|
| 320 |
+
"learning_rate": 1.5795918367346942e-05,
|
| 321 |
+
"loss": 0.2404,
|
| 322 |
"step": 390
|
| 323 |
},
|
| 324 |
{
|
| 325 |
+
"epoch": 0.04894163709776092,
|
| 326 |
+
"grad_norm": 0.13196279108524323,
|
| 327 |
+
"learning_rate": 1.6204081632653063e-05,
|
| 328 |
+
"loss": 0.2393,
|
| 329 |
"step": 400
|
| 330 |
},
|
| 331 |
{
|
| 332 |
+
"epoch": 0.04894163709776092,
|
| 333 |
+
"eval_accuracy": 0.84563,
|
| 334 |
+
"eval_f1_weighted": 0.8448128964509274,
|
| 335 |
+
"eval_loss": 0.09028046578168869,
|
| 336 |
+
"eval_macro_f1": 0.8451923512067675,
|
| 337 |
+
"eval_precision": 0.861024732271907,
|
| 338 |
+
"eval_recall": 0.84563,
|
| 339 |
+
"eval_runtime": 787.6067,
|
| 340 |
+
"eval_samples_per_second": 126.967,
|
| 341 |
+
"eval_steps_per_second": 0.993,
|
| 342 |
+
"step": 400
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 0.05016517802520494,
|
| 346 |
+
"grad_norm": 0.0924634337425232,
|
| 347 |
+
"learning_rate": 1.6612244897959184e-05,
|
| 348 |
+
"loss": 0.2331,
|
| 349 |
"step": 410
|
| 350 |
},
|
| 351 |
{
|
| 352 |
+
"epoch": 0.05138871895264897,
|
| 353 |
+
"grad_norm": 0.277784138917923,
|
| 354 |
+
"learning_rate": 1.7020408163265308e-05,
|
| 355 |
+
"loss": 0.2301,
|
| 356 |
"step": 420
|
| 357 |
},
|
| 358 |
{
|
| 359 |
+
"epoch": 0.052612259880092986,
|
| 360 |
+
"grad_norm": 0.32299959659576416,
|
| 361 |
+
"learning_rate": 1.742857142857143e-05,
|
| 362 |
+
"loss": 0.2218,
|
| 363 |
"step": 430
|
| 364 |
},
|
| 365 |
{
|
| 366 |
+
"epoch": 0.05383580080753701,
|
| 367 |
+
"grad_norm": 0.18170586228370667,
|
| 368 |
+
"learning_rate": 1.7836734693877553e-05,
|
| 369 |
+
"loss": 0.2318,
|
| 370 |
"step": 440
|
| 371 |
},
|
| 372 |
{
|
| 373 |
+
"epoch": 0.05505934173498103,
|
| 374 |
+
"grad_norm": 0.1520216166973114,
|
| 375 |
+
"learning_rate": 1.8244897959183674e-05,
|
| 376 |
+
"loss": 0.2136,
|
| 377 |
"step": 450
|
| 378 |
},
|
| 379 |
{
|
| 380 |
+
"epoch": 0.05628288266242506,
|
| 381 |
+
"grad_norm": 0.23452645540237427,
|
| 382 |
+
"learning_rate": 1.8653061224489795e-05,
|
| 383 |
+
"loss": 0.2219,
|
| 384 |
"step": 460
|
| 385 |
},
|
| 386 |
{
|
| 387 |
+
"epoch": 0.05750642358986908,
|
| 388 |
+
"grad_norm": 0.10036301612854004,
|
| 389 |
+
"learning_rate": 1.906122448979592e-05,
|
| 390 |
+
"loss": 0.2213,
|
| 391 |
"step": 470
|
| 392 |
},
|
| 393 |
{
|
| 394 |
+
"epoch": 0.058729964517313105,
|
| 395 |
+
"grad_norm": 0.24100220203399658,
|
| 396 |
+
"learning_rate": 1.9469387755102044e-05,
|
| 397 |
+
"loss": 0.2079,
|
| 398 |
"step": 480
|
| 399 |
},
|
| 400 |
{
|
| 401 |
+
"epoch": 0.059953505444757124,
|
| 402 |
+
"grad_norm": 0.28893032670021057,
|
| 403 |
+
"learning_rate": 1.9877551020408165e-05,
|
| 404 |
+
"loss": 0.1978,
|
| 405 |
"step": 490
|
| 406 |
},
|
| 407 |
{
|
| 408 |
+
"epoch": 0.06117704637220115,
|
| 409 |
+
"grad_norm": 0.22918537259101868,
|
| 410 |
+
"learning_rate": 1.9999836143766126e-05,
|
| 411 |
+
"loss": 0.202,
|
| 412 |
"step": 500
|
| 413 |
},
|
| 414 |
{
|
| 415 |
+
"epoch": 0.06117704637220115,
|
| 416 |
+
"eval_accuracy": 0.91628,
|
| 417 |
+
"eval_f1_weighted": 0.9163231793856368,
|
| 418 |
+
"eval_loss": 0.055908624082803726,
|
| 419 |
+
"eval_macro_f1": 0.9162187423616152,
|
| 420 |
+
"eval_precision": 0.9170320825159874,
|
| 421 |
+
"eval_recall": 0.91628,
|
| 422 |
+
"eval_runtime": 760.1138,
|
| 423 |
+
"eval_samples_per_second": 131.559,
|
| 424 |
+
"eval_steps_per_second": 1.029,
|
| 425 |
"step": 500
|
| 426 |
},
|
| 427 |
{
|
| 428 |
+
"epoch": 0.06240058729964517,
|
| 429 |
+
"grad_norm": 0.2930404841899872,
|
| 430 |
+
"learning_rate": 1.999903359554741e-05,
|
| 431 |
+
"loss": 0.1979,
|
| 432 |
"step": 510
|
| 433 |
},
|
| 434 |
{
|
| 435 |
+
"epoch": 0.0636241282270892,
|
| 436 |
+
"grad_norm": 0.0889664739370346,
|
| 437 |
+
"learning_rate": 1.9997562312908153e-05,
|
| 438 |
+
"loss": 0.1953,
|
| 439 |
"step": 520
|
| 440 |
},
|
| 441 |
{
|
| 442 |
+
"epoch": 0.06484766915453322,
|
| 443 |
+
"grad_norm": 0.1687588095664978,
|
| 444 |
+
"learning_rate": 1.9995422394247598e-05,
|
| 445 |
+
"loss": 0.1935,
|
| 446 |
"step": 530
|
| 447 |
},
|
| 448 |
{
|
| 449 |
+
"epoch": 0.06607121008197724,
|
| 450 |
+
"grad_norm": 0.2399725466966629,
|
| 451 |
+
"learning_rate": 1.9992613982683296e-05,
|
| 452 |
+
"loss": 0.1818,
|
| 453 |
"step": 540
|
| 454 |
},
|
| 455 |
{
|
| 456 |
+
"epoch": 0.06729475100942127,
|
| 457 |
+
"grad_norm": 0.2016785889863968,
|
| 458 |
+
"learning_rate": 1.9989137266041552e-05,
|
| 459 |
+
"loss": 0.1893,
|
| 460 |
"step": 550
|
| 461 |
},
|
| 462 |
{
|
| 463 |
+
"epoch": 0.06851829193686529,
|
| 464 |
+
"grad_norm": 0.17420713603496552,
|
| 465 |
+
"learning_rate": 1.9984992476844845e-05,
|
| 466 |
+
"loss": 0.1895,
|
| 467 |
"step": 560
|
| 468 |
},
|
| 469 |
{
|
| 470 |
+
"epoch": 0.06974183286430931,
|
| 471 |
+
"grad_norm": 0.2180609554052353,
|
| 472 |
+
"learning_rate": 1.998017989229629e-05,
|
| 473 |
+
"loss": 0.1836,
|
| 474 |
"step": 570
|
| 475 |
},
|
| 476 |
{
|
| 477 |
+
"epoch": 0.07096537379175333,
|
| 478 |
+
"grad_norm": 0.15563039481639862,
|
| 479 |
+
"learning_rate": 1.9974699834261074e-05,
|
| 480 |
+
"loss": 0.182,
|
| 481 |
"step": 580
|
| 482 |
},
|
| 483 |
{
|
| 484 |
+
"epoch": 0.07218891471919736,
|
| 485 |
+
"grad_norm": 0.25410088896751404,
|
| 486 |
+
"learning_rate": 1.996855266924497e-05,
|
| 487 |
+
"loss": 0.1862,
|
| 488 |
"step": 590
|
| 489 |
},
|
| 490 |
{
|
| 491 |
+
"epoch": 0.07341245564664138,
|
| 492 |
+
"grad_norm": 0.24206259846687317,
|
| 493 |
+
"learning_rate": 1.996173880836979e-05,
|
| 494 |
+
"loss": 0.1818,
|
| 495 |
"step": 600
|
| 496 |
},
|
| 497 |
{
|
| 498 |
+
"epoch": 0.07341245564664138,
|
| 499 |
+
"eval_accuracy": 0.91633,
|
| 500 |
+
"eval_f1_weighted": 0.9162437523349878,
|
| 501 |
+
"eval_loss": 0.05625538155436516,
|
| 502 |
+
"eval_macro_f1": 0.9163072974421806,
|
| 503 |
+
"eval_precision": 0.9233764457540103,
|
| 504 |
+
"eval_recall": 0.91633,
|
| 505 |
+
"eval_runtime": 759.6815,
|
| 506 |
+
"eval_samples_per_second": 131.634,
|
| 507 |
+
"eval_steps_per_second": 1.029,
|
| 508 |
+
"step": 600
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 0.0746359965740854,
|
| 512 |
+
"grad_norm": 0.27251410484313965,
|
| 513 |
+
"learning_rate": 1.9954258707345903e-05,
|
| 514 |
+
"loss": 0.1845,
|
| 515 |
"step": 610
|
| 516 |
},
|
| 517 |
{
|
| 518 |
+
"epoch": 0.07585953750152942,
|
| 519 |
+
"grad_norm": 0.1545839011669159,
|
| 520 |
+
"learning_rate": 1.9946112866441757e-05,
|
| 521 |
+
"loss": 0.1861,
|
| 522 |
"step": 620
|
| 523 |
},
|
| 524 |
{
|
| 525 |
+
"epoch": 0.07708307842897345,
|
| 526 |
+
"grad_norm": 0.2535873055458069,
|
| 527 |
+
"learning_rate": 1.9937301830450423e-05,
|
| 528 |
+
"loss": 0.1772,
|
| 529 |
"step": 630
|
| 530 |
},
|
| 531 |
{
|
| 532 |
+
"epoch": 0.07830661935641747,
|
| 533 |
+
"grad_norm": 0.2617948651313782,
|
| 534 |
+
"learning_rate": 1.992782618865315e-05,
|
| 535 |
+
"loss": 0.1711,
|
| 536 |
"step": 640
|
| 537 |
},
|
| 538 |
{
|
| 539 |
+
"epoch": 0.07953016028386149,
|
| 540 |
+
"grad_norm": 0.38676971197128296,
|
| 541 |
+
"learning_rate": 1.9917686574779972e-05,
|
| 542 |
+
"loss": 0.1748,
|
| 543 |
"step": 650
|
| 544 |
},
|
| 545 |
{
|
| 546 |
+
"epoch": 0.08075370121130551,
|
| 547 |
+
"grad_norm": 0.1511957049369812,
|
| 548 |
+
"learning_rate": 1.9906883666967296e-05,
|
| 549 |
+
"loss": 0.1825,
|
| 550 |
"step": 660
|
| 551 |
},
|
| 552 |
{
|
| 553 |
+
"epoch": 0.08197724213874955,
|
| 554 |
+
"grad_norm": 0.2525976002216339,
|
| 555 |
+
"learning_rate": 1.989541818771258e-05,
|
| 556 |
+
"loss": 0.1651,
|
| 557 |
"step": 670
|
| 558 |
},
|
| 559 |
{
|
| 560 |
+
"epoch": 0.08320078306619356,
|
| 561 |
+
"grad_norm": 0.25827622413635254,
|
| 562 |
+
"learning_rate": 1.9883290903825994e-05,
|
| 563 |
+
"loss": 0.1763,
|
| 564 |
"step": 680
|
| 565 |
},
|
| 566 |
{
|
| 567 |
+
"epoch": 0.08442432399363758,
|
| 568 |
+
"grad_norm": 0.24877820909023285,
|
| 569 |
+
"learning_rate": 1.9870502626379127e-05,
|
| 570 |
+
"loss": 0.1652,
|
| 571 |
"step": 690
|
| 572 |
},
|
| 573 |
{
|
| 574 |
+
"epoch": 0.0856478649210816,
|
| 575 |
+
"grad_norm": 0.278772234916687,
|
| 576 |
+
"learning_rate": 1.9857054210650776e-05,
|
| 577 |
+
"loss": 0.1651,
|
| 578 |
+
"step": 700
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 0.0856478649210816,
|
| 582 |
+
"eval_accuracy": 0.94905,
|
| 583 |
+
"eval_f1_weighted": 0.9490731118481598,
|
| 584 |
+
"eval_loss": 0.03884471580386162,
|
| 585 |
+
"eval_macro_f1": 0.9489981325237288,
|
| 586 |
+
"eval_precision": 0.9494795831024372,
|
| 587 |
+
"eval_recall": 0.94905,
|
| 588 |
+
"eval_runtime": 759.9337,
|
| 589 |
+
"eval_samples_per_second": 131.59,
|
| 590 |
+
"eval_steps_per_second": 1.029,
|
| 591 |
"step": 700
|
| 592 |
},
|
| 593 |
{
|
| 594 |
+
"epoch": 0.08687140584852564,
|
| 595 |
+
"grad_norm": 0.1895805150270462,
|
| 596 |
+
"learning_rate": 1.9842946556069705e-05,
|
| 597 |
+
"loss": 0.1628,
|
| 598 |
"step": 710
|
| 599 |
},
|
| 600 |
{
|
| 601 |
+
"epoch": 0.08809494677596966,
|
| 602 |
+
"grad_norm": 0.1171497106552124,
|
| 603 |
+
"learning_rate": 1.982818060615452e-05,
|
| 604 |
+
"loss": 0.1715,
|
| 605 |
"step": 720
|
| 606 |
},
|
| 607 |
{
|
| 608 |
+
"epoch": 0.08931848770341368,
|
| 609 |
+
"grad_norm": 0.22032728791236877,
|
| 610 |
+
"learning_rate": 1.9812757348450547e-05,
|
| 611 |
+
"loss": 0.1712,
|
| 612 |
"step": 730
|
| 613 |
},
|
| 614 |
{
|
| 615 |
+
"epoch": 0.0905420286308577,
|
| 616 |
+
"grad_norm": 0.20700488984584808,
|
| 617 |
+
"learning_rate": 1.9796677814463812e-05,
|
| 618 |
+
"loss": 0.1638,
|
| 619 |
"step": 740
|
| 620 |
},
|
| 621 |
{
|
| 622 |
+
"epoch": 0.09176556955830173,
|
| 623 |
+
"grad_norm": 0.24688613414764404,
|
| 624 |
+
"learning_rate": 1.977994307959202e-05,
|
| 625 |
+
"loss": 0.1647,
|
| 626 |
"step": 750
|
| 627 |
},
|
| 628 |
{
|
| 629 |
+
"epoch": 0.09298911048574575,
|
| 630 |
+
"grad_norm": 0.1886432021856308,
|
| 631 |
+
"learning_rate": 1.9762554263052655e-05,
|
| 632 |
+
"loss": 0.1734,
|
| 633 |
"step": 760
|
| 634 |
},
|
| 635 |
{
|
| 636 |
+
"epoch": 0.09421265141318977,
|
| 637 |
+
"grad_norm": 0.08407370001077652,
|
| 638 |
+
"learning_rate": 1.9744512527808127e-05,
|
| 639 |
+
"loss": 0.1755,
|
| 640 |
"step": 770
|
| 641 |
},
|
| 642 |
{
|
| 643 |
+
"epoch": 0.09543619234063379,
|
| 644 |
+
"grad_norm": 0.14160771667957306,
|
| 645 |
+
"learning_rate": 1.9725819080487976e-05,
|
| 646 |
+
"loss": 0.1749,
|
| 647 |
"step": 780
|
| 648 |
},
|
| 649 |
{
|
| 650 |
+
"epoch": 0.09665973326807782,
|
| 651 |
+
"grad_norm": 0.17038081586360931,
|
| 652 |
+
"learning_rate": 1.970647517130819e-05,
|
| 653 |
+
"loss": 0.1795,
|
| 654 |
"step": 790
|
| 655 |
},
|
| 656 |
{
|
| 657 |
+
"epoch": 0.09788327419552184,
|
| 658 |
+
"grad_norm": 0.24339532852172852,
|
| 659 |
+
"learning_rate": 1.968648209398759e-05,
|
| 660 |
+
"loss": 0.161,
|
| 661 |
"step": 800
|
| 662 |
},
|
| 663 |
{
|
| 664 |
+
"epoch": 0.09788327419552184,
|
| 665 |
+
"eval_accuracy": 0.95721,
|
| 666 |
+
"eval_f1_weighted": 0.9572295598206603,
|
| 667 |
+
"eval_loss": 0.03337462991476059,
|
| 668 |
+
"eval_macro_f1": 0.9571669846830866,
|
| 669 |
+
"eval_precision": 0.9576467364395861,
|
| 670 |
+
"eval_recall": 0.95721,
|
| 671 |
+
"eval_runtime": 759.9975,
|
| 672 |
+
"eval_samples_per_second": 131.579,
|
| 673 |
+
"eval_steps_per_second": 1.029,
|
| 674 |
+
"step": 800
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.09910681512296586,
|
| 678 |
+
"grad_norm": 0.16346058249473572,
|
| 679 |
+
"learning_rate": 1.9665841185661283e-05,
|
| 680 |
+
"loss": 0.1596,
|
| 681 |
"step": 810
|
| 682 |
},
|
| 683 |
{
|
| 684 |
+
"epoch": 0.10033035605040988,
|
| 685 |
+
"grad_norm": 0.25031423568725586,
|
| 686 |
+
"learning_rate": 1.964455382679128e-05,
|
| 687 |
+
"loss": 0.1662,
|
| 688 |
"step": 820
|
| 689 |
},
|
| 690 |
{
|
| 691 |
+
"epoch": 0.10155389697785391,
|
| 692 |
+
"grad_norm": 0.36678382754325867,
|
| 693 |
+
"learning_rate": 1.9622621441074113e-05,
|
| 694 |
+
"loss": 0.1552,
|
| 695 |
"step": 830
|
| 696 |
},
|
| 697 |
{
|
| 698 |
+
"epoch": 0.10277743790529793,
|
| 699 |
+
"grad_norm": 0.34810611605644226,
|
| 700 |
+
"learning_rate": 1.960004549534567e-05,
|
| 701 |
+
"loss": 0.1663,
|
| 702 |
"step": 840
|
| 703 |
},
|
| 704 |
{
|
| 705 |
+
"epoch": 0.10400097883274195,
|
| 706 |
+
"grad_norm": 0.15511688590049744,
|
| 707 |
+
"learning_rate": 1.957682749948307e-05,
|
| 708 |
+
"loss": 0.1571,
|
| 709 |
"step": 850
|
| 710 |
},
|
| 711 |
{
|
| 712 |
+
"epoch": 0.10522451976018597,
|
| 713 |
+
"grad_norm": 0.2082190364599228,
|
| 714 |
+
"learning_rate": 1.9552969006303666e-05,
|
| 715 |
+
"loss": 0.1497,
|
| 716 |
"step": 860
|
| 717 |
},
|
| 718 |
{
|
| 719 |
+
"epoch": 0.10644806068763,
|
| 720 |
+
"grad_norm": 0.14936988055706024,
|
| 721 |
+
"learning_rate": 1.9528471611461235e-05,
|
| 722 |
+
"loss": 0.1435,
|
| 723 |
"step": 870
|
| 724 |
},
|
| 725 |
{
|
| 726 |
+
"epoch": 0.10767160161507403,
|
| 727 |
+
"grad_norm": 0.252530574798584,
|
| 728 |
+
"learning_rate": 1.9503336953339223e-05,
|
| 729 |
+
"loss": 0.1536,
|
| 730 |
"step": 880
|
| 731 |
},
|
| 732 |
{
|
| 733 |
+
"epoch": 0.10889514254251804,
|
| 734 |
+
"grad_norm": 0.07253506034612656,
|
| 735 |
+
"learning_rate": 1.947756671294118e-05,
|
| 736 |
+
"loss": 0.1605,
|
| 737 |
"step": 890
|
| 738 |
},
|
| 739 |
{
|
| 740 |
+
"epoch": 0.11011868346996206,
|
| 741 |
+
"grad_norm": 0.09060605615377426,
|
| 742 |
+
"learning_rate": 1.9451162613778353e-05,
|
| 743 |
+
"loss": 0.1581,
|
| 744 |
+
"step": 900
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.11011868346996206,
|
| 748 |
+
"eval_accuracy": 0.95459,
|
| 749 |
+
"eval_f1_weighted": 0.9546135918699761,
|
| 750 |
+
"eval_loss": 0.03526490181684494,
|
| 751 |
+
"eval_macro_f1": 0.9545725664001194,
|
| 752 |
+
"eval_precision": 0.9559789658562307,
|
| 753 |
+
"eval_recall": 0.95459,
|
| 754 |
+
"eval_runtime": 759.7202,
|
| 755 |
+
"eval_samples_per_second": 131.627,
|
| 756 |
+
"eval_steps_per_second": 1.029,
|
| 757 |
"step": 900
|
| 758 |
},
|
| 759 |
{
|
| 760 |
+
"epoch": 0.1113422243974061,
|
| 761 |
+
"grad_norm": 0.21080073714256287,
|
| 762 |
+
"learning_rate": 1.942412642175439e-05,
|
| 763 |
+
"loss": 0.164,
|
| 764 |
"step": 910
|
| 765 |
},
|
| 766 |
{
|
| 767 |
+
"epoch": 0.11256576532485012,
|
| 768 |
+
"grad_norm": 0.22832269966602325,
|
| 769 |
+
"learning_rate": 1.939645994504726e-05,
|
| 770 |
+
"loss": 0.1595,
|
| 771 |
"step": 920
|
| 772 |
},
|
| 773 |
{
|
| 774 |
+
"epoch": 0.11378930625229414,
|
| 775 |
+
"grad_norm": 0.19044892489910126,
|
| 776 |
+
"learning_rate": 1.93681650339883e-05,
|
| 777 |
+
"loss": 0.1648,
|
| 778 |
"step": 930
|
| 779 |
},
|
| 780 |
{
|
| 781 |
+
"epoch": 0.11501284717973816,
|
| 782 |
+
"grad_norm": 0.2413518726825714,
|
| 783 |
+
"learning_rate": 1.9339243580938493e-05,
|
| 784 |
+
"loss": 0.155,
|
| 785 |
"step": 940
|
| 786 |
},
|
| 787 |
{
|
| 788 |
+
"epoch": 0.11623638810718219,
|
| 789 |
+
"grad_norm": 0.13218896090984344,
|
| 790 |
+
"learning_rate": 1.930969752016187e-05,
|
| 791 |
+
"loss": 0.1499,
|
| 792 |
"step": 950
|
| 793 |
},
|
| 794 |
{
|
| 795 |
+
"epoch": 0.11745992903462621,
|
| 796 |
+
"grad_norm": 0.23770441114902496,
|
| 797 |
+
"learning_rate": 1.927952882769619e-05,
|
| 798 |
+
"loss": 0.1555,
|
| 799 |
"step": 960
|
| 800 |
},
|
| 801 |
{
|
| 802 |
+
"epoch": 0.11868346996207023,
|
| 803 |
+
"grad_norm": 0.2193710207939148,
|
| 804 |
+
"learning_rate": 1.924873952122074e-05,
|
| 805 |
+
"loss": 0.1505,
|
| 806 |
"step": 970
|
| 807 |
},
|
| 808 |
{
|
| 809 |
+
"epoch": 0.11990701088951425,
|
| 810 |
+
"grad_norm": 0.1577174812555313,
|
| 811 |
+
"learning_rate": 1.9217331659921432e-05,
|
| 812 |
+
"loss": 0.1551,
|
| 813 |
"step": 980
|
| 814 |
},
|
| 815 |
{
|
| 816 |
+
"epoch": 0.12113055181695828,
|
| 817 |
+
"grad_norm": 0.1814967393875122,
|
| 818 |
+
"learning_rate": 1.9185307344353052e-05,
|
| 819 |
+
"loss": 0.1607,
|
| 820 |
"step": 990
|
| 821 |
},
|
| 822 |
{
|
| 823 |
+
"epoch": 0.1223540927444023,
|
| 824 |
+
"grad_norm": 0.27239707112312317,
|
| 825 |
+
"learning_rate": 1.91526687162988e-05,
|
| 826 |
+
"loss": 0.1506,
|
| 827 |
"step": 1000
|
| 828 |
},
|
| 829 |
{
|
| 830 |
+
"epoch": 0.1223540927444023,
|
| 831 |
+
"eval_accuracy": 0.96454,
|
| 832 |
+
"eval_f1_weighted": 0.9645510150201642,
|
| 833 |
+
"eval_loss": 0.028770776465535164,
|
| 834 |
+
"eval_macro_f1": 0.9644889377060355,
|
| 835 |
+
"eval_precision": 0.9646912114769961,
|
| 836 |
+
"eval_recall": 0.96454,
|
| 837 |
+
"eval_runtime": 759.5962,
|
| 838 |
+
"eval_samples_per_second": 131.649,
|
| 839 |
+
"eval_steps_per_second": 1.029,
|
| 840 |
"step": 1000
|
| 841 |
}
|
| 842 |
],
|
| 843 |
"logging_steps": 10,
|
| 844 |
+
"max_steps": 8173,
|
| 845 |
"num_input_tokens_seen": 0,
|
| 846 |
"num_train_epochs": 1,
|
| 847 |
+
"save_steps": 100,
|
| 848 |
"stateful_callbacks": {
|
| 849 |
"EarlyStoppingCallback": {
|
| 850 |
"args": {
|
|
|
|
| 866 |
"attributes": {}
|
| 867 |
}
|
| 868 |
},
|
| 869 |
+
"total_flos": 1.6974575173632e+16,
|
| 870 |
+
"train_batch_size": 64,
|
| 871 |
"trial_name": null,
|
| 872 |
"trial_params": null
|
| 873 |
}
|
checkpoint-1000/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:84799314bcc123b16dc7e721b7c0a39a7148ba4c572d589c671664f2e203e207
|
| 3 |
+
size 5841
|
checkpoint-1100/config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"RobertaForSequenceClassification"
|
| 4 |
+
],
|
| 5 |
+
"attention_probs_dropout_prob": 0.1,
|
| 6 |
+
"bos_token_id": 0,
|
| 7 |
+
"classifier_dropout": null,
|
| 8 |
+
"dtype": "float32",
|
| 9 |
+
"eos_token_id": 2,
|
| 10 |
+
"gradient_checkpointing": false,
|
| 11 |
+
"hidden_act": "gelu",
|
| 12 |
+
"hidden_dropout_prob": 0.1,
|
| 13 |
+
"hidden_size": 768,
|
| 14 |
+
"initializer_range": 0.02,
|
| 15 |
+
"intermediate_size": 3072,
|
| 16 |
+
"layer_norm_eps": 1e-05,
|
| 17 |
+
"max_position_embeddings": 1026,
|
| 18 |
+
"model_type": "roberta",
|
| 19 |
+
"num_attention_heads": 12,
|
| 20 |
+
"num_hidden_layers": 12,
|
| 21 |
+
"output_past": true,
|
| 22 |
+
"pad_token_id": 1,
|
| 23 |
+
"position_embedding_type": "absolute",
|
| 24 |
+
"problem_type": "single_label_classification",
|
| 25 |
+
"transformers_version": "4.56.0",
|
| 26 |
+
"type_vocab_size": 10,
|
| 27 |
+
"use_cache": true,
|
| 28 |
+
"vocab_size": 51416
|
| 29 |
+
}
|
checkpoint-1100/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-1100/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8b10c733460151c1d6f8993106b670307a2bb4c4b61d05e3eae7347702daac47
|
| 3 |
+
size 506505672
|
checkpoint-1100/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:53bf52cb642b51369e0a95075a5b756e85921ef6f4dc7f444e6cfe7fe2a5900c
|
| 3 |
+
size 1007622411
|
checkpoint-1100/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:61c7c55a742bcfca5f903384e20f8e91ee2f8d2f9879952f810307a3ce3992b6
|
| 3 |
+
size 14645
|
checkpoint-1100/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:29c159530c0b045d9326d40e787007ff4922dc4adeb35441be0870744bf816a6
|
| 3 |
+
size 1383
|
checkpoint-1100/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e3c167e18770e153a7e8f12beebdae3ca1a3d373a59d87ddaedaa9c151bac765
|
| 3 |
+
size 1977
|
checkpoint-1100/special_tokens_map.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"cls_token": {
|
| 10 |
+
"content": "<s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"eos_token": {
|
| 17 |
+
"content": "</s>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": true,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"mask_token": {
|
| 24 |
+
"content": "<mask>",
|
| 25 |
+
"lstrip": true,
|
| 26 |
+
"normalized": true,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"pad_token": {
|
| 31 |
+
"content": "<pad>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": true,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
},
|
| 37 |
+
"sep_token": {
|
| 38 |
+
"content": "</s>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": true,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false
|
| 43 |
+
},
|
| 44 |
+
"unk_token": {
|
| 45 |
+
"content": "<unk>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": true,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false
|
| 50 |
+
}
|
| 51 |
+
}
|
checkpoint-1100/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-1100/tokenizer_config.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "<s>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": true,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "<pad>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": true,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "</s>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": true,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "<unk>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": true,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"4": {
|
| 37 |
+
"content": "<mask>",
|
| 38 |
+
"lstrip": true,
|
| 39 |
+
"normalized": true,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
}
|
| 44 |
+
},
|
| 45 |
+
"bos_token": "<s>",
|
| 46 |
+
"clean_up_tokenization_spaces": false,
|
| 47 |
+
"cls_token": "<s>",
|
| 48 |
+
"eos_token": "</s>",
|
| 49 |
+
"errors": "replace",
|
| 50 |
+
"extra_special_tokens": {},
|
| 51 |
+
"mask_token": "<mask>",
|
| 52 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 53 |
+
"pad_token": "<pad>",
|
| 54 |
+
"sep_token": "</s>",
|
| 55 |
+
"tokenizer_class": "RobertaTokenizer",
|
| 56 |
+
"trim_offsets": true,
|
| 57 |
+
"unk_token": "<unk>"
|
| 58 |
+
}
|
checkpoint-1100/trainer_state.json
ADDED
|
@@ -0,0 +1,956 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 1000,
|
| 3 |
+
"best_metric": 0.9644889377060355,
|
| 4 |
+
"best_model_checkpoint": "taskA-unixcoder-focal/checkpoint-1000",
|
| 5 |
+
"epoch": 0.13458950201884254,
|
| 6 |
+
"eval_steps": 100,
|
| 7 |
+
"global_step": 1100,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.001223540927444023,
|
| 14 |
+
"grad_norm": 0.1898110806941986,
|
| 15 |
+
"learning_rate": 3.6734693877551025e-07,
|
| 16 |
+
"loss": 0.4422,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.002447081854888046,
|
| 21 |
+
"grad_norm": 0.3350900411605835,
|
| 22 |
+
"learning_rate": 7.346938775510205e-07,
|
| 23 |
+
"loss": 0.4323,
|
| 24 |
+
"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.003670622782332069,
|
| 28 |
+
"grad_norm": 0.3723449110984802,
|
| 29 |
+
"learning_rate": 1.142857142857143e-06,
|
| 30 |
+
"loss": 0.4362,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.004894163709776092,
|
| 35 |
+
"grad_norm": 0.3299769461154938,
|
| 36 |
+
"learning_rate": 1.5510204081632654e-06,
|
| 37 |
+
"loss": 0.4191,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.006117704637220115,
|
| 42 |
+
"grad_norm": 0.26681044697761536,
|
| 43 |
+
"learning_rate": 1.9591836734693877e-06,
|
| 44 |
+
"loss": 0.4289,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.007341245564664138,
|
| 49 |
+
"grad_norm": 0.30233338475227356,
|
| 50 |
+
"learning_rate": 2.3673469387755103e-06,
|
| 51 |
+
"loss": 0.4083,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.008564786492108161,
|
| 56 |
+
"grad_norm": 0.31031334400177,
|
| 57 |
+
"learning_rate": 2.775510204081633e-06,
|
| 58 |
+
"loss": 0.404,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.009788327419552184,
|
| 63 |
+
"grad_norm": 0.2552475035190582,
|
| 64 |
+
"learning_rate": 3.183673469387755e-06,
|
| 65 |
+
"loss": 0.3889,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.011011868346996207,
|
| 70 |
+
"grad_norm": 0.3131052553653717,
|
| 71 |
+
"learning_rate": 3.5918367346938777e-06,
|
| 72 |
+
"loss": 0.3813,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.01223540927444023,
|
| 77 |
+
"grad_norm": 0.3377229571342468,
|
| 78 |
+
"learning_rate": 4.000000000000001e-06,
|
| 79 |
+
"loss": 0.3727,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.01223540927444023,
|
| 84 |
+
"eval_accuracy": 0.6961,
|
| 85 |
+
"eval_f1_weighted": 0.6955947095331424,
|
| 86 |
+
"eval_loss": 0.15026023983955383,
|
| 87 |
+
"eval_macro_f1": 0.6959280508399847,
|
| 88 |
+
"eval_precision": 0.7019396279846728,
|
| 89 |
+
"eval_recall": 0.6961,
|
| 90 |
+
"eval_runtime": 789.7648,
|
| 91 |
+
"eval_samples_per_second": 126.62,
|
| 92 |
+
"eval_steps_per_second": 0.99,
|
| 93 |
+
"step": 100
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.013458950201884253,
|
| 97 |
+
"grad_norm": 0.3366774618625641,
|
| 98 |
+
"learning_rate": 4.408163265306123e-06,
|
| 99 |
+
"loss": 0.3671,
|
| 100 |
+
"step": 110
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.014682491129328276,
|
| 104 |
+
"grad_norm": 0.33491575717926025,
|
| 105 |
+
"learning_rate": 4.816326530612245e-06,
|
| 106 |
+
"loss": 0.3498,
|
| 107 |
+
"step": 120
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.0159060320567723,
|
| 111 |
+
"grad_norm": 0.4119006097316742,
|
| 112 |
+
"learning_rate": 5.2244897959183684e-06,
|
| 113 |
+
"loss": 0.3409,
|
| 114 |
+
"step": 130
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.017129572984216322,
|
| 118 |
+
"grad_norm": 0.2964725196361542,
|
| 119 |
+
"learning_rate": 5.63265306122449e-06,
|
| 120 |
+
"loss": 0.3433,
|
| 121 |
+
"step": 140
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.018353113911660345,
|
| 125 |
+
"grad_norm": 0.3075334429740906,
|
| 126 |
+
"learning_rate": 6.040816326530613e-06,
|
| 127 |
+
"loss": 0.3298,
|
| 128 |
+
"step": 150
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.019576654839104368,
|
| 132 |
+
"grad_norm": 0.33718687295913696,
|
| 133 |
+
"learning_rate": 6.4489795918367345e-06,
|
| 134 |
+
"loss": 0.3297,
|
| 135 |
+
"step": 160
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.02080019576654839,
|
| 139 |
+
"grad_norm": 0.2809618413448334,
|
| 140 |
+
"learning_rate": 6.857142857142858e-06,
|
| 141 |
+
"loss": 0.3275,
|
| 142 |
+
"step": 170
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.022023736693992414,
|
| 146 |
+
"grad_norm": 0.37805014848709106,
|
| 147 |
+
"learning_rate": 7.2653061224489805e-06,
|
| 148 |
+
"loss": 0.3201,
|
| 149 |
+
"step": 180
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.023247277621436437,
|
| 153 |
+
"grad_norm": 0.2940429151058197,
|
| 154 |
+
"learning_rate": 7.673469387755102e-06,
|
| 155 |
+
"loss": 0.3042,
|
| 156 |
+
"step": 190
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.02447081854888046,
|
| 160 |
+
"grad_norm": 0.3286060690879822,
|
| 161 |
+
"learning_rate": 8.081632653061225e-06,
|
| 162 |
+
"loss": 0.3071,
|
| 163 |
+
"step": 200
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.02447081854888046,
|
| 167 |
+
"eval_accuracy": 0.77807,
|
| 168 |
+
"eval_f1_weighted": 0.7781129395311969,
|
| 169 |
+
"eval_loss": 0.12153773754835129,
|
| 170 |
+
"eval_macro_f1": 0.7780651598452646,
|
| 171 |
+
"eval_precision": 0.7808306361972198,
|
| 172 |
+
"eval_recall": 0.77807,
|
| 173 |
+
"eval_runtime": 792.7157,
|
| 174 |
+
"eval_samples_per_second": 126.149,
|
| 175 |
+
"eval_steps_per_second": 0.986,
|
| 176 |
+
"step": 200
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 0.025694359476324483,
|
| 180 |
+
"grad_norm": 0.33857154846191406,
|
| 181 |
+
"learning_rate": 8.489795918367347e-06,
|
| 182 |
+
"loss": 0.2964,
|
| 183 |
+
"step": 210
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 0.026917900403768506,
|
| 187 |
+
"grad_norm": 0.2752092182636261,
|
| 188 |
+
"learning_rate": 8.89795918367347e-06,
|
| 189 |
+
"loss": 0.3,
|
| 190 |
+
"step": 220
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"epoch": 0.02814144133121253,
|
| 194 |
+
"grad_norm": 0.4952544569969177,
|
| 195 |
+
"learning_rate": 9.306122448979593e-06,
|
| 196 |
+
"loss": 0.294,
|
| 197 |
+
"step": 230
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 0.029364982258656552,
|
| 201 |
+
"grad_norm": 0.37926042079925537,
|
| 202 |
+
"learning_rate": 9.714285714285715e-06,
|
| 203 |
+
"loss": 0.2964,
|
| 204 |
+
"step": 240
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 0.030588523186100575,
|
| 208 |
+
"grad_norm": 0.3222455680370331,
|
| 209 |
+
"learning_rate": 1.0122448979591836e-05,
|
| 210 |
+
"loss": 0.283,
|
| 211 |
+
"step": 250
|
| 212 |
+
},
|
| 213 |
+
{
|
| 214 |
+
"epoch": 0.0318120641135446,
|
| 215 |
+
"grad_norm": 0.2930658459663391,
|
| 216 |
+
"learning_rate": 1.053061224489796e-05,
|
| 217 |
+
"loss": 0.2793,
|
| 218 |
+
"step": 260
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 0.03303560504098862,
|
| 222 |
+
"grad_norm": 0.4313414692878723,
|
| 223 |
+
"learning_rate": 1.0938775510204083e-05,
|
| 224 |
+
"loss": 0.2728,
|
| 225 |
+
"step": 270
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 0.034259145968432644,
|
| 229 |
+
"grad_norm": 0.37351569533348083,
|
| 230 |
+
"learning_rate": 1.1346938775510206e-05,
|
| 231 |
+
"loss": 0.2752,
|
| 232 |
+
"step": 280
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"epoch": 0.035482686895876664,
|
| 236 |
+
"grad_norm": 0.22772285342216492,
|
| 237 |
+
"learning_rate": 1.1755102040816328e-05,
|
| 238 |
+
"loss": 0.274,
|
| 239 |
+
"step": 290
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 0.03670622782332069,
|
| 243 |
+
"grad_norm": 0.15888753533363342,
|
| 244 |
+
"learning_rate": 1.2163265306122449e-05,
|
| 245 |
+
"loss": 0.264,
|
| 246 |
+
"step": 300
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 0.03670622782332069,
|
| 250 |
+
"eval_accuracy": 0.82326,
|
| 251 |
+
"eval_f1_weighted": 0.8227034206790359,
|
| 252 |
+
"eval_loss": 0.10234300792217255,
|
| 253 |
+
"eval_macro_f1": 0.8230100448030374,
|
| 254 |
+
"eval_precision": 0.8338333810964687,
|
| 255 |
+
"eval_recall": 0.82326,
|
| 256 |
+
"eval_runtime": 789.0168,
|
| 257 |
+
"eval_samples_per_second": 126.74,
|
| 258 |
+
"eval_steps_per_second": 0.991,
|
| 259 |
+
"step": 300
|
| 260 |
+
},
|
| 261 |
+
{
|
| 262 |
+
"epoch": 0.03792976875076471,
|
| 263 |
+
"grad_norm": 0.23560188710689545,
|
| 264 |
+
"learning_rate": 1.2571428571428572e-05,
|
| 265 |
+
"loss": 0.2753,
|
| 266 |
+
"step": 310
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 0.039153309678208736,
|
| 270 |
+
"grad_norm": 0.18699614703655243,
|
| 271 |
+
"learning_rate": 1.2979591836734696e-05,
|
| 272 |
+
"loss": 0.2565,
|
| 273 |
+
"step": 320
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 0.040376850605652756,
|
| 277 |
+
"grad_norm": 0.24035991728305817,
|
| 278 |
+
"learning_rate": 1.3387755102040818e-05,
|
| 279 |
+
"loss": 0.2716,
|
| 280 |
+
"step": 330
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"epoch": 0.04160039153309678,
|
| 284 |
+
"grad_norm": 0.15309660136699677,
|
| 285 |
+
"learning_rate": 1.3795918367346941e-05,
|
| 286 |
+
"loss": 0.2515,
|
| 287 |
+
"step": 340
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 0.0428239324605408,
|
| 291 |
+
"grad_norm": 0.3382055461406708,
|
| 292 |
+
"learning_rate": 1.4204081632653062e-05,
|
| 293 |
+
"loss": 0.2597,
|
| 294 |
+
"step": 350
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 0.04404747338798483,
|
| 298 |
+
"grad_norm": 0.24439455568790436,
|
| 299 |
+
"learning_rate": 1.4612244897959185e-05,
|
| 300 |
+
"loss": 0.247,
|
| 301 |
+
"step": 360
|
| 302 |
+
},
|
| 303 |
+
{
|
| 304 |
+
"epoch": 0.04527101431542885,
|
| 305 |
+
"grad_norm": 0.26233720779418945,
|
| 306 |
+
"learning_rate": 1.5020408163265307e-05,
|
| 307 |
+
"loss": 0.2431,
|
| 308 |
+
"step": 370
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 0.046494555242872875,
|
| 312 |
+
"grad_norm": 0.20477451384067535,
|
| 313 |
+
"learning_rate": 1.5387755102040818e-05,
|
| 314 |
+
"loss": 0.2538,
|
| 315 |
+
"step": 380
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"epoch": 0.047718096170316894,
|
| 319 |
+
"grad_norm": 0.2765439748764038,
|
| 320 |
+
"learning_rate": 1.5795918367346942e-05,
|
| 321 |
+
"loss": 0.2404,
|
| 322 |
+
"step": 390
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"epoch": 0.04894163709776092,
|
| 326 |
+
"grad_norm": 0.13196279108524323,
|
| 327 |
+
"learning_rate": 1.6204081632653063e-05,
|
| 328 |
+
"loss": 0.2393,
|
| 329 |
+
"step": 400
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 0.04894163709776092,
|
| 333 |
+
"eval_accuracy": 0.84563,
|
| 334 |
+
"eval_f1_weighted": 0.8448128964509274,
|
| 335 |
+
"eval_loss": 0.09028046578168869,
|
| 336 |
+
"eval_macro_f1": 0.8451923512067675,
|
| 337 |
+
"eval_precision": 0.861024732271907,
|
| 338 |
+
"eval_recall": 0.84563,
|
| 339 |
+
"eval_runtime": 787.6067,
|
| 340 |
+
"eval_samples_per_second": 126.967,
|
| 341 |
+
"eval_steps_per_second": 0.993,
|
| 342 |
+
"step": 400
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 0.05016517802520494,
|
| 346 |
+
"grad_norm": 0.0924634337425232,
|
| 347 |
+
"learning_rate": 1.6612244897959184e-05,
|
| 348 |
+
"loss": 0.2331,
|
| 349 |
+
"step": 410
|
| 350 |
+
},
|
| 351 |
+
{
|
| 352 |
+
"epoch": 0.05138871895264897,
|
| 353 |
+
"grad_norm": 0.277784138917923,
|
| 354 |
+
"learning_rate": 1.7020408163265308e-05,
|
| 355 |
+
"loss": 0.2301,
|
| 356 |
+
"step": 420
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 0.052612259880092986,
|
| 360 |
+
"grad_norm": 0.32299959659576416,
|
| 361 |
+
"learning_rate": 1.742857142857143e-05,
|
| 362 |
+
"loss": 0.2218,
|
| 363 |
+
"step": 430
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"epoch": 0.05383580080753701,
|
| 367 |
+
"grad_norm": 0.18170586228370667,
|
| 368 |
+
"learning_rate": 1.7836734693877553e-05,
|
| 369 |
+
"loss": 0.2318,
|
| 370 |
+
"step": 440
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"epoch": 0.05505934173498103,
|
| 374 |
+
"grad_norm": 0.1520216166973114,
|
| 375 |
+
"learning_rate": 1.8244897959183674e-05,
|
| 376 |
+
"loss": 0.2136,
|
| 377 |
+
"step": 450
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 0.05628288266242506,
|
| 381 |
+
"grad_norm": 0.23452645540237427,
|
| 382 |
+
"learning_rate": 1.8653061224489795e-05,
|
| 383 |
+
"loss": 0.2219,
|
| 384 |
+
"step": 460
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 0.05750642358986908,
|
| 388 |
+
"grad_norm": 0.10036301612854004,
|
| 389 |
+
"learning_rate": 1.906122448979592e-05,
|
| 390 |
+
"loss": 0.2213,
|
| 391 |
+
"step": 470
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"epoch": 0.058729964517313105,
|
| 395 |
+
"grad_norm": 0.24100220203399658,
|
| 396 |
+
"learning_rate": 1.9469387755102044e-05,
|
| 397 |
+
"loss": 0.2079,
|
| 398 |
+
"step": 480
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 0.059953505444757124,
|
| 402 |
+
"grad_norm": 0.28893032670021057,
|
| 403 |
+
"learning_rate": 1.9877551020408165e-05,
|
| 404 |
+
"loss": 0.1978,
|
| 405 |
+
"step": 490
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 0.06117704637220115,
|
| 409 |
+
"grad_norm": 0.22918537259101868,
|
| 410 |
+
"learning_rate": 1.9999836143766126e-05,
|
| 411 |
+
"loss": 0.202,
|
| 412 |
+
"step": 500
|
| 413 |
+
},
|
| 414 |
+
{
|
| 415 |
+
"epoch": 0.06117704637220115,
|
| 416 |
+
"eval_accuracy": 0.91628,
|
| 417 |
+
"eval_f1_weighted": 0.9163231793856368,
|
| 418 |
+
"eval_loss": 0.055908624082803726,
|
| 419 |
+
"eval_macro_f1": 0.9162187423616152,
|
| 420 |
+
"eval_precision": 0.9170320825159874,
|
| 421 |
+
"eval_recall": 0.91628,
|
| 422 |
+
"eval_runtime": 760.1138,
|
| 423 |
+
"eval_samples_per_second": 131.559,
|
| 424 |
+
"eval_steps_per_second": 1.029,
|
| 425 |
+
"step": 500
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 0.06240058729964517,
|
| 429 |
+
"grad_norm": 0.2930404841899872,
|
| 430 |
+
"learning_rate": 1.999903359554741e-05,
|
| 431 |
+
"loss": 0.1979,
|
| 432 |
+
"step": 510
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 0.0636241282270892,
|
| 436 |
+
"grad_norm": 0.0889664739370346,
|
| 437 |
+
"learning_rate": 1.9997562312908153e-05,
|
| 438 |
+
"loss": 0.1953,
|
| 439 |
+
"step": 520
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"epoch": 0.06484766915453322,
|
| 443 |
+
"grad_norm": 0.1687588095664978,
|
| 444 |
+
"learning_rate": 1.9995422394247598e-05,
|
| 445 |
+
"loss": 0.1935,
|
| 446 |
+
"step": 530
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 0.06607121008197724,
|
| 450 |
+
"grad_norm": 0.2399725466966629,
|
| 451 |
+
"learning_rate": 1.9992613982683296e-05,
|
| 452 |
+
"loss": 0.1818,
|
| 453 |
+
"step": 540
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 0.06729475100942127,
|
| 457 |
+
"grad_norm": 0.2016785889863968,
|
| 458 |
+
"learning_rate": 1.9989137266041552e-05,
|
| 459 |
+
"loss": 0.1893,
|
| 460 |
+
"step": 550
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"epoch": 0.06851829193686529,
|
| 464 |
+
"grad_norm": 0.17420713603496552,
|
| 465 |
+
"learning_rate": 1.9984992476844845e-05,
|
| 466 |
+
"loss": 0.1895,
|
| 467 |
+
"step": 560
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 0.06974183286430931,
|
| 471 |
+
"grad_norm": 0.2180609554052353,
|
| 472 |
+
"learning_rate": 1.998017989229629e-05,
|
| 473 |
+
"loss": 0.1836,
|
| 474 |
+
"step": 570
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 0.07096537379175333,
|
| 478 |
+
"grad_norm": 0.15563039481639862,
|
| 479 |
+
"learning_rate": 1.9974699834261074e-05,
|
| 480 |
+
"loss": 0.182,
|
| 481 |
+
"step": 580
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"epoch": 0.07218891471919736,
|
| 485 |
+
"grad_norm": 0.25410088896751404,
|
| 486 |
+
"learning_rate": 1.996855266924497e-05,
|
| 487 |
+
"loss": 0.1862,
|
| 488 |
+
"step": 590
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 0.07341245564664138,
|
| 492 |
+
"grad_norm": 0.24206259846687317,
|
| 493 |
+
"learning_rate": 1.996173880836979e-05,
|
| 494 |
+
"loss": 0.1818,
|
| 495 |
+
"step": 600
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 0.07341245564664138,
|
| 499 |
+
"eval_accuracy": 0.91633,
|
| 500 |
+
"eval_f1_weighted": 0.9162437523349878,
|
| 501 |
+
"eval_loss": 0.05625538155436516,
|
| 502 |
+
"eval_macro_f1": 0.9163072974421806,
|
| 503 |
+
"eval_precision": 0.9233764457540103,
|
| 504 |
+
"eval_recall": 0.91633,
|
| 505 |
+
"eval_runtime": 759.6815,
|
| 506 |
+
"eval_samples_per_second": 131.634,
|
| 507 |
+
"eval_steps_per_second": 1.029,
|
| 508 |
+
"step": 600
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 0.0746359965740854,
|
| 512 |
+
"grad_norm": 0.27251410484313965,
|
| 513 |
+
"learning_rate": 1.9954258707345903e-05,
|
| 514 |
+
"loss": 0.1845,
|
| 515 |
+
"step": 610
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 0.07585953750152942,
|
| 519 |
+
"grad_norm": 0.1545839011669159,
|
| 520 |
+
"learning_rate": 1.9946112866441757e-05,
|
| 521 |
+
"loss": 0.1861,
|
| 522 |
+
"step": 620
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 0.07708307842897345,
|
| 526 |
+
"grad_norm": 0.2535873055458069,
|
| 527 |
+
"learning_rate": 1.9937301830450423e-05,
|
| 528 |
+
"loss": 0.1772,
|
| 529 |
+
"step": 630
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 0.07830661935641747,
|
| 533 |
+
"grad_norm": 0.2617948651313782,
|
| 534 |
+
"learning_rate": 1.992782618865315e-05,
|
| 535 |
+
"loss": 0.1711,
|
| 536 |
+
"step": 640
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 0.07953016028386149,
|
| 540 |
+
"grad_norm": 0.38676971197128296,
|
| 541 |
+
"learning_rate": 1.9917686574779972e-05,
|
| 542 |
+
"loss": 0.1748,
|
| 543 |
+
"step": 650
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 0.08075370121130551,
|
| 547 |
+
"grad_norm": 0.1511957049369812,
|
| 548 |
+
"learning_rate": 1.9906883666967296e-05,
|
| 549 |
+
"loss": 0.1825,
|
| 550 |
+
"step": 660
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 0.08197724213874955,
|
| 554 |
+
"grad_norm": 0.2525976002216339,
|
| 555 |
+
"learning_rate": 1.989541818771258e-05,
|
| 556 |
+
"loss": 0.1651,
|
| 557 |
+
"step": 670
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 0.08320078306619356,
|
| 561 |
+
"grad_norm": 0.25827622413635254,
|
| 562 |
+
"learning_rate": 1.9883290903825994e-05,
|
| 563 |
+
"loss": 0.1763,
|
| 564 |
+
"step": 680
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 0.08442432399363758,
|
| 568 |
+
"grad_norm": 0.24877820909023285,
|
| 569 |
+
"learning_rate": 1.9870502626379127e-05,
|
| 570 |
+
"loss": 0.1652,
|
| 571 |
+
"step": 690
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 0.0856478649210816,
|
| 575 |
+
"grad_norm": 0.278772234916687,
|
| 576 |
+
"learning_rate": 1.9857054210650776e-05,
|
| 577 |
+
"loss": 0.1651,
|
| 578 |
+
"step": 700
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 0.0856478649210816,
|
| 582 |
+
"eval_accuracy": 0.94905,
|
| 583 |
+
"eval_f1_weighted": 0.9490731118481598,
|
| 584 |
+
"eval_loss": 0.03884471580386162,
|
| 585 |
+
"eval_macro_f1": 0.9489981325237288,
|
| 586 |
+
"eval_precision": 0.9494795831024372,
|
| 587 |
+
"eval_recall": 0.94905,
|
| 588 |
+
"eval_runtime": 759.9337,
|
| 589 |
+
"eval_samples_per_second": 131.59,
|
| 590 |
+
"eval_steps_per_second": 1.029,
|
| 591 |
+
"step": 700
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.08687140584852564,
|
| 595 |
+
"grad_norm": 0.1895805150270462,
|
| 596 |
+
"learning_rate": 1.9842946556069705e-05,
|
| 597 |
+
"loss": 0.1628,
|
| 598 |
+
"step": 710
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.08809494677596966,
|
| 602 |
+
"grad_norm": 0.1171497106552124,
|
| 603 |
+
"learning_rate": 1.982818060615452e-05,
|
| 604 |
+
"loss": 0.1715,
|
| 605 |
+
"step": 720
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.08931848770341368,
|
| 609 |
+
"grad_norm": 0.22032728791236877,
|
| 610 |
+
"learning_rate": 1.9812757348450547e-05,
|
| 611 |
+
"loss": 0.1712,
|
| 612 |
+
"step": 730
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.0905420286308577,
|
| 616 |
+
"grad_norm": 0.20700488984584808,
|
| 617 |
+
"learning_rate": 1.9796677814463812e-05,
|
| 618 |
+
"loss": 0.1638,
|
| 619 |
+
"step": 740
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.09176556955830173,
|
| 623 |
+
"grad_norm": 0.24688613414764404,
|
| 624 |
+
"learning_rate": 1.977994307959202e-05,
|
| 625 |
+
"loss": 0.1647,
|
| 626 |
+
"step": 750
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.09298911048574575,
|
| 630 |
+
"grad_norm": 0.1886432021856308,
|
| 631 |
+
"learning_rate": 1.9762554263052655e-05,
|
| 632 |
+
"loss": 0.1734,
|
| 633 |
+
"step": 760
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.09421265141318977,
|
| 637 |
+
"grad_norm": 0.08407370001077652,
|
| 638 |
+
"learning_rate": 1.9744512527808127e-05,
|
| 639 |
+
"loss": 0.1755,
|
| 640 |
+
"step": 770
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.09543619234063379,
|
| 644 |
+
"grad_norm": 0.14160771667957306,
|
| 645 |
+
"learning_rate": 1.9725819080487976e-05,
|
| 646 |
+
"loss": 0.1749,
|
| 647 |
+
"step": 780
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.09665973326807782,
|
| 651 |
+
"grad_norm": 0.17038081586360931,
|
| 652 |
+
"learning_rate": 1.970647517130819e-05,
|
| 653 |
+
"loss": 0.1795,
|
| 654 |
+
"step": 790
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.09788327419552184,
|
| 658 |
+
"grad_norm": 0.24339532852172852,
|
| 659 |
+
"learning_rate": 1.968648209398759e-05,
|
| 660 |
+
"loss": 0.161,
|
| 661 |
+
"step": 800
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.09788327419552184,
|
| 665 |
+
"eval_accuracy": 0.95721,
|
| 666 |
+
"eval_f1_weighted": 0.9572295598206603,
|
| 667 |
+
"eval_loss": 0.03337462991476059,
|
| 668 |
+
"eval_macro_f1": 0.9571669846830866,
|
| 669 |
+
"eval_precision": 0.9576467364395861,
|
| 670 |
+
"eval_recall": 0.95721,
|
| 671 |
+
"eval_runtime": 759.9975,
|
| 672 |
+
"eval_samples_per_second": 131.579,
|
| 673 |
+
"eval_steps_per_second": 1.029,
|
| 674 |
+
"step": 800
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.09910681512296586,
|
| 678 |
+
"grad_norm": 0.16346058249473572,
|
| 679 |
+
"learning_rate": 1.9665841185661283e-05,
|
| 680 |
+
"loss": 0.1596,
|
| 681 |
+
"step": 810
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.10033035605040988,
|
| 685 |
+
"grad_norm": 0.25031423568725586,
|
| 686 |
+
"learning_rate": 1.964455382679128e-05,
|
| 687 |
+
"loss": 0.1662,
|
| 688 |
+
"step": 820
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.10155389697785391,
|
| 692 |
+
"grad_norm": 0.36678382754325867,
|
| 693 |
+
"learning_rate": 1.9622621441074113e-05,
|
| 694 |
+
"loss": 0.1552,
|
| 695 |
+
"step": 830
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.10277743790529793,
|
| 699 |
+
"grad_norm": 0.34810611605644226,
|
| 700 |
+
"learning_rate": 1.960004549534567e-05,
|
| 701 |
+
"loss": 0.1663,
|
| 702 |
+
"step": 840
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.10400097883274195,
|
| 706 |
+
"grad_norm": 0.15511688590049744,
|
| 707 |
+
"learning_rate": 1.957682749948307e-05,
|
| 708 |
+
"loss": 0.1571,
|
| 709 |
+
"step": 850
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.10522451976018597,
|
| 713 |
+
"grad_norm": 0.2082190364599228,
|
| 714 |
+
"learning_rate": 1.9552969006303666e-05,
|
| 715 |
+
"loss": 0.1497,
|
| 716 |
+
"step": 860
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.10644806068763,
|
| 720 |
+
"grad_norm": 0.14936988055706024,
|
| 721 |
+
"learning_rate": 1.9528471611461235e-05,
|
| 722 |
+
"loss": 0.1435,
|
| 723 |
+
"step": 870
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.10767160161507403,
|
| 727 |
+
"grad_norm": 0.252530574798584,
|
| 728 |
+
"learning_rate": 1.9503336953339223e-05,
|
| 729 |
+
"loss": 0.1536,
|
| 730 |
+
"step": 880
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.10889514254251804,
|
| 734 |
+
"grad_norm": 0.07253506034612656,
|
| 735 |
+
"learning_rate": 1.947756671294118e-05,
|
| 736 |
+
"loss": 0.1605,
|
| 737 |
+
"step": 890
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.11011868346996206,
|
| 741 |
+
"grad_norm": 0.09060605615377426,
|
| 742 |
+
"learning_rate": 1.9451162613778353e-05,
|
| 743 |
+
"loss": 0.1581,
|
| 744 |
+
"step": 900
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.11011868346996206,
|
| 748 |
+
"eval_accuracy": 0.95459,
|
| 749 |
+
"eval_f1_weighted": 0.9546135918699761,
|
| 750 |
+
"eval_loss": 0.03526490181684494,
|
| 751 |
+
"eval_macro_f1": 0.9545725664001194,
|
| 752 |
+
"eval_precision": 0.9559789658562307,
|
| 753 |
+
"eval_recall": 0.95459,
|
| 754 |
+
"eval_runtime": 759.7202,
|
| 755 |
+
"eval_samples_per_second": 131.627,
|
| 756 |
+
"eval_steps_per_second": 1.029,
|
| 757 |
+
"step": 900
|
| 758 |
+
},
|
| 759 |
+
{
|
| 760 |
+
"epoch": 0.1113422243974061,
|
| 761 |
+
"grad_norm": 0.21080073714256287,
|
| 762 |
+
"learning_rate": 1.942412642175439e-05,
|
| 763 |
+
"loss": 0.164,
|
| 764 |
+
"step": 910
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"epoch": 0.11256576532485012,
|
| 768 |
+
"grad_norm": 0.22832269966602325,
|
| 769 |
+
"learning_rate": 1.939645994504726e-05,
|
| 770 |
+
"loss": 0.1595,
|
| 771 |
+
"step": 920
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 0.11378930625229414,
|
| 775 |
+
"grad_norm": 0.19044892489910126,
|
| 776 |
+
"learning_rate": 1.93681650339883e-05,
|
| 777 |
+
"loss": 0.1648,
|
| 778 |
+
"step": 930
|
| 779 |
+
},
|
| 780 |
+
{
|
| 781 |
+
"epoch": 0.11501284717973816,
|
| 782 |
+
"grad_norm": 0.2413518726825714,
|
| 783 |
+
"learning_rate": 1.9339243580938493e-05,
|
| 784 |
+
"loss": 0.155,
|
| 785 |
+
"step": 940
|
| 786 |
+
},
|
| 787 |
+
{
|
| 788 |
+
"epoch": 0.11623638810718219,
|
| 789 |
+
"grad_norm": 0.13218896090984344,
|
| 790 |
+
"learning_rate": 1.930969752016187e-05,
|
| 791 |
+
"loss": 0.1499,
|
| 792 |
+
"step": 950
|
| 793 |
+
},
|
| 794 |
+
{
|
| 795 |
+
"epoch": 0.11745992903462621,
|
| 796 |
+
"grad_norm": 0.23770441114902496,
|
| 797 |
+
"learning_rate": 1.927952882769619e-05,
|
| 798 |
+
"loss": 0.1555,
|
| 799 |
+
"step": 960
|
| 800 |
+
},
|
| 801 |
+
{
|
| 802 |
+
"epoch": 0.11868346996207023,
|
| 803 |
+
"grad_norm": 0.2193710207939148,
|
| 804 |
+
"learning_rate": 1.924873952122074e-05,
|
| 805 |
+
"loss": 0.1505,
|
| 806 |
+
"step": 970
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 0.11990701088951425,
|
| 810 |
+
"grad_norm": 0.1577174812555313,
|
| 811 |
+
"learning_rate": 1.9217331659921432e-05,
|
| 812 |
+
"loss": 0.1551,
|
| 813 |
+
"step": 980
|
| 814 |
+
},
|
| 815 |
+
{
|
| 816 |
+
"epoch": 0.12113055181695828,
|
| 817 |
+
"grad_norm": 0.1814967393875122,
|
| 818 |
+
"learning_rate": 1.9185307344353052e-05,
|
| 819 |
+
"loss": 0.1607,
|
| 820 |
+
"step": 990
|
| 821 |
+
},
|
| 822 |
+
{
|
| 823 |
+
"epoch": 0.1223540927444023,
|
| 824 |
+
"grad_norm": 0.27239707112312317,
|
| 825 |
+
"learning_rate": 1.91526687162988e-05,
|
| 826 |
+
"loss": 0.1506,
|
| 827 |
+
"step": 1000
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 0.1223540927444023,
|
| 831 |
+
"eval_accuracy": 0.96454,
|
| 832 |
+
"eval_f1_weighted": 0.9645510150201642,
|
| 833 |
+
"eval_loss": 0.028770776465535164,
|
| 834 |
+
"eval_macro_f1": 0.9644889377060355,
|
| 835 |
+
"eval_precision": 0.9646912114769961,
|
| 836 |
+
"eval_recall": 0.96454,
|
| 837 |
+
"eval_runtime": 759.5962,
|
| 838 |
+
"eval_samples_per_second": 131.649,
|
| 839 |
+
"eval_steps_per_second": 1.029,
|
| 840 |
+
"step": 1000
|
| 841 |
+
},
|
| 842 |
+
{
|
| 843 |
+
"epoch": 0.12357763367184632,
|
| 844 |
+
"grad_norm": 0.20511822402477264,
|
| 845 |
+
"learning_rate": 1.9119417958627022e-05,
|
| 846 |
+
"loss": 0.1503,
|
| 847 |
+
"step": 1010
|
| 848 |
+
},
|
| 849 |
+
{
|
| 850 |
+
"epoch": 0.12480117459929034,
|
| 851 |
+
"grad_norm": 0.2324151247739792,
|
| 852 |
+
"learning_rate": 1.9085557295145254e-05,
|
| 853 |
+
"loss": 0.1581,
|
| 854 |
+
"step": 1020
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 0.12602471552673436,
|
| 858 |
+
"grad_norm": 0.11019974201917648,
|
| 859 |
+
"learning_rate": 1.905108899045146e-05,
|
| 860 |
+
"loss": 0.1556,
|
| 861 |
+
"step": 1030
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 0.1272482564541784,
|
| 865 |
+
"grad_norm": 0.13370558619499207,
|
| 866 |
+
"learning_rate": 1.9016015349782594e-05,
|
| 867 |
+
"loss": 0.1469,
|
| 868 |
+
"step": 1040
|
| 869 |
+
},
|
| 870 |
+
{
|
| 871 |
+
"epoch": 0.12847179738162243,
|
| 872 |
+
"grad_norm": 0.11238931119441986,
|
| 873 |
+
"learning_rate": 1.8980338718860426e-05,
|
| 874 |
+
"loss": 0.155,
|
| 875 |
+
"step": 1050
|
| 876 |
+
},
|
| 877 |
+
{
|
| 878 |
+
"epoch": 0.12969533830906643,
|
| 879 |
+
"grad_norm": 0.2959650158882141,
|
| 880 |
+
"learning_rate": 1.894406148373466e-05,
|
| 881 |
+
"loss": 0.1478,
|
| 882 |
+
"step": 1060
|
| 883 |
+
},
|
| 884 |
+
{
|
| 885 |
+
"epoch": 0.13091887923651047,
|
| 886 |
+
"grad_norm": 0.14401015639305115,
|
| 887 |
+
"learning_rate": 1.890718607062334e-05,
|
| 888 |
+
"loss": 0.1558,
|
| 889 |
+
"step": 1070
|
| 890 |
+
},
|
| 891 |
+
{
|
| 892 |
+
"epoch": 0.13214242016395447,
|
| 893 |
+
"grad_norm": 0.2187667042016983,
|
| 894 |
+
"learning_rate": 1.8869714945750614e-05,
|
| 895 |
+
"loss": 0.1618,
|
| 896 |
+
"step": 1080
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 0.1333659610913985,
|
| 900 |
+
"grad_norm": 0.17045481503009796,
|
| 901 |
+
"learning_rate": 1.883165061518176e-05,
|
| 902 |
+
"loss": 0.1487,
|
| 903 |
+
"step": 1090
|
| 904 |
+
},
|
| 905 |
+
{
|
| 906 |
+
"epoch": 0.13458950201884254,
|
| 907 |
+
"grad_norm": 0.09508351981639862,
|
| 908 |
+
"learning_rate": 1.8792995624655605e-05,
|
| 909 |
+
"loss": 0.1461,
|
| 910 |
+
"step": 1100
|
| 911 |
+
},
|
| 912 |
+
{
|
| 913 |
+
"epoch": 0.13458950201884254,
|
| 914 |
+
"eval_accuracy": 0.95198,
|
| 915 |
+
"eval_f1_weighted": 0.9520023284947491,
|
| 916 |
+
"eval_loss": 0.04088817164301872,
|
| 917 |
+
"eval_macro_f1": 0.9519693367124435,
|
| 918 |
+
"eval_precision": 0.9538785423213092,
|
| 919 |
+
"eval_recall": 0.95198,
|
| 920 |
+
"eval_runtime": 759.8551,
|
| 921 |
+
"eval_samples_per_second": 131.604,
|
| 922 |
+
"eval_steps_per_second": 1.029,
|
| 923 |
+
"step": 1100
|
| 924 |
+
}
|
| 925 |
+
],
|
| 926 |
+
"logging_steps": 10,
|
| 927 |
+
"max_steps": 8173,
|
| 928 |
+
"num_input_tokens_seen": 0,
|
| 929 |
+
"num_train_epochs": 1,
|
| 930 |
+
"save_steps": 100,
|
| 931 |
+
"stateful_callbacks": {
|
| 932 |
+
"EarlyStoppingCallback": {
|
| 933 |
+
"args": {
|
| 934 |
+
"early_stopping_patience": 3,
|
| 935 |
+
"early_stopping_threshold": 0.0
|
| 936 |
+
},
|
| 937 |
+
"attributes": {
|
| 938 |
+
"early_stopping_patience_counter": 1
|
| 939 |
+
}
|
| 940 |
+
},
|
| 941 |
+
"TrainerControl": {
|
| 942 |
+
"args": {
|
| 943 |
+
"should_epoch_stop": false,
|
| 944 |
+
"should_evaluate": false,
|
| 945 |
+
"should_log": false,
|
| 946 |
+
"should_save": true,
|
| 947 |
+
"should_training_stop": false
|
| 948 |
+
},
|
| 949 |
+
"attributes": {}
|
| 950 |
+
}
|
| 951 |
+
},
|
| 952 |
+
"total_flos": 1.86720326909952e+16,
|
| 953 |
+
"train_batch_size": 64,
|
| 954 |
+
"trial_name": null,
|
| 955 |
+
"trial_params": null
|
| 956 |
+
}
|
checkpoint-1100/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:84799314bcc123b16dc7e721b7c0a39a7148ba4c572d589c671664f2e203e207
|
| 3 |
+
size 5841
|
checkpoint-1100/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|